Stefan Werner
About
Stefan Werner (IEEE Fellow) is a Professor at the Department of Electronic Systems and Director of IoT Research at NTNU. He is a member of the Signal Processing Group. He is also an Adjunct Professor with Aalto University in Finland, a visiting Melchor Professor with the University of Notre Dame in the US, and an Adjunct Senior Research Fellow with the Institute for Telecommunications Research, University of South Australia. Professor Werner has an M.Sc. from the Department of Electrical Engineering at KTH Royal Institute of Technology in Sweden and a D.Sc. (with honors) from the Department of Electrical and Communications Engineering at the Helsinki University of Technology in Finland.
Open Positions
Contact for up-to-date information on upcoming positions. Postdoctoral researchers may consider applying for an ERCIM Fellowship; let me know if you intend to apply.
Research Interests
- Graph signal processing and graph neural networks
- Distributed and federated machine learning
- Privacy-preserving learning
- Wireless communications
- Adaptive signal processing and machine learning
- Internet of things
- Physical-layer security and privacy
- Smart grids
Areas of Expertise
Wireless communications, statistical signal processing, graph signal processing, adaptive filtering, and learning. He has published roughly 240 scientific journals and conference publications in these areas. He has extensive credentials and experience in advancing the theory and applications of distributed signal processing and optimization, machine learning, event-triggered processing, and communication in sensor networks. His research within wireless communication includes, e.g., analysis and design of full-duplex relaying and MIMO communication. The early publications on full-duplex relaying are highly cited and have opened up a new research area that has been very active in recent years. More recently, he has contributed to developing CPS/IoT technologies, particularly those relevant to advancing the communication and control, analysis, security, privacy, and networking of the data collection infrastructure.
Recent Work Experience
- 2016- Professor, Dept. of Electronics and Telecommunications, NTNU
- 2016- Adjunct Professor, Aalto School of Electrical Engineering, Finland
- 2019 (June to July) Melchor Professor, University of Notre Dame, USA
- 2014-2016 Senior Research Scientist, Aalto School of Electrical Engineering, Finland
- 2014- Adjunct Senior Research Fellow, University of South Australia, Australia
- 2009-2014 Academy Research Fellow, Academy of Finland/Aalto University, Finland
- 2009-2014 Docent, Aalto University, Finland
- 2003 Visiting researcher, Federal University of Rio de Janeiro, Brazil
- 2002-2008 Senior Researcher, Signal Processing Laboratory, Helsinki University of Technology, Finland
Selected Research Funding
- Oct 2023 - "Privacy@Edge." Research Council of Norway
- Sep 2023 - "PLEDGE: Personalize learning on the edge." Research Council of Finland
- Oct 2019 - "COPS: Comprehensive privacy and security for resilient CPS/IoT." Research Council of Norway
- Aug 2018 - "Resource-aware IoT with Enhanced Intelligence and Security." Research Council of Norway
- Apr 2017- Dec 2018 "ART: Autonomous Resource-constrained Things." Research Council of Norway
- Jul 2020 "MAMONET: Massive MIMO for Securing Internet of Things Networks." Marie-Curie IF, Horizon 2020, EU. Project Coordinator.
- Sep 2016-Dec 2020 “Robust Demand-End Optimization with Event-Triggered Situational Awareness.” Academy Project funding by Academy of Finland
- Jan 2009-July 2014 “Distributed and Resource Efficient Parameter Estimation in Sensor and Wireless Networks.” Academy Fellow funding by Academy of Finland
- 2012-2014 “ICT & Energy,” one of four projects in ELECs Energy Efficiency Program
Membership in Academic Committees
- 2023- Fellow of IEEE
- 2007-2022 Senior member of IEEE
- 2002-2007 Member of IEEE
- 2014- Affiliated member of IEEE SPTM Technical Committee
- 2011-2014 Member of ICT Strategy Group for Aalto ELEC
Editorial Work
- 2009- Member of the Editorial Board, Signal Processing (EURASIP/Elsevier Journal).
- 2019- Member of the Editorial Board, IEEE Transactions on Signal and Information Processing over Networks.
Current team
- Anders Buvarp (Researcher)
- Sateesh Dhuli (Postdoctoral researcher)
- Diyako Ghaderyan (Postdoctoral researcher)
- Ehsan Lari (Ph.D. candidate)
- Reza Mirzaeifard (Ph.D. candidate)
- Dawit Redie (Ph.D. candidate)
Alumni
- Vinay Gogineni (Assistant Professor, SDU, Denmark)
- Dr. Naveen K. D. Venkategowda (Associate Professor, Linköping University)
- Dr. Vitor Elias (graduated 2021, Postdoctoral Researcher, NTNU)
- Dr. Pouria Talebi (Assistant Professor)
- Dr. Victor Wattin Håkansson (graduated 2022, ETH)
- Cristiano Gratton (graduated 2023)
- Ashkan Moradi (graduated, 2023, Postdoctoral Researcher, NTNU)
- François Gauthier (graduated, 2024, Nordlax)
He has supervised fourteen and is currently supervising three doctoral candidates, as well as thirteen MSc candidates.
Publications
2025
-
Mirzaeifard, Reza;
Werner, Stefan;
Venkategowda, Naveen Kumar Dasanadoddi.
(2025)
Single‑Loop Non‑Convex Optimization for Robust and Sparse Learning in IoT.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doctoral dissertation
-
Dhuli, Venkata Sateeshkrishna;
Kouachi, Said;
Sah, Abhay Kumar;
Werner, Stefan.
(2025)
Analysis of Exponential Correlation Matrices for Massive MIMO Systems.
IEEE Communications Letters
Academic article
-
Mirzaeifard, Reza;
Ghaderyan, Diyako;
Werner, Stefan.
(2025)
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties.
IEEE Signal Processing Letters
Academic article
-
Mirzaeifard, Reza;
Werner, Stefan.
(2025)
Federated smoothing ADMM for quantile regression with non-convex sparse penalties.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Arablouei, Reza;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2025)
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks Via Partial Sharing.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Mirzaeifard, Reza;
Ghaderyan, Diyako;
Werner, Stefan.
(2025)
Federated smoothing proximal gradient for quantile regression with non-convex penalties.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Dhuli, Venkata Sateeshkrishna;
Kouachi, Said;
Werner, Stefan.
(2025)
Optimal Analysis of Consensus Algorithms for r-nearest ring networks.
IEEE Signal Processing Letters
Academic article
2024
-
Lari, Ehsan;
Arablouei, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2024)
Distributed maximum consensus over noisy links.
Academic chapter/article/Conference paper
-
Cheema, Muhammad Asaad;
Gogineni, Vinay Chakravarthi;
Rossi, Pierluigi Salvo;
Werner, Stefan.
(2024)
Networked Federated Meta-Learning Over Extending Graphs.
IEEE Internet of Things Journal
Academic article
-
Lari, Ehsan;
Arablouei, Reza;
Werner, Stefan.
(2024)
Privacy-preserving distributed nonnegative matrix factorization.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Stefan.
(2024)
On the resilience of online federated learning to model poisoning attacks through partial sharing.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Müller, Katinka;
Orlandic, Milica;
Werner, Stefan.
(2024)
Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection.
IEEE Geoscience and Remote Sensing Letters
Academic article
2023
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Communication-efficient and privacy-aware distributed learning.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Gogineni, Vinay Chakravarthi;
Sambangi, Ramesh;
Alex, Daney;
Mula, Subrahmanyam;
Werner, Anders Stefan.
(2023)
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters.
IEEE Transactions on Circuits and Systems I: Regular Papers
Academic article
-
Mirzaeifard, Reza;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Robust Networked Federated Learning for Localization.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Anders Stefan.
(2023)
Continual local updates for federated learning with enhanced robustness to link noise.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Anders Stefan.
(2023)
Resource-efficient federated learning robust to communication errors.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines.
IEEE Sensors Journal
Academic article
-
Müller, Katinka;
Gogineni, Vinay Chakravarthi;
Orlandic, Milica;
Werner, Anders Stefan.
(2023)
Autoencoder-based hyperspectral anomaly detection using kernel principal component pre-processing.
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Robust phase retrieval with non-convex penalties.
Asilomar Conference on Signals, Systems and Computers. Conference Record
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan.
(2023)
Networked personalized federated learning using reinforcement learning.
IEEE International Conference on Communications
Academic article
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Distributed quantile regression with non-convex sparse penalties.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Asynchronous online federated learning with reduced communication requirements.
IEEE Internet of Things Journal
Academic article
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2023)
Smoothing ADMM for Sparse-Penalized Quantile Regression With Non-Convex Penalties.
IEEE Open Journal of Signal Processing
Academic article
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Jung, Alexander;
Werner, Anders Stefan.
(2023)
Moreau envelope ADMM for decentralized weakly convex optimization.
Academic chapter/article/Conference paper
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Personalized Graph Federated Learning With Differential Privacy.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
2022
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Strategies for Kernel Regression.
IEEE Internet of Things Journal
Academic article
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2022)
Dynamic Graph Topology Learning with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2022)
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Gauthier, Francois Jean Rene;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.
IEEE Internet of Things Magazine (IoTM)
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Decentralized Graph Federated Multitask Learning for Streaming Data.
Academic chapter/article/Conference paper
-
Elias, Vitor Rosa Meireles;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2022)
Kernel Regression over Graphs using Random Fourier Features.
IEEE Transactions on Signal Processing
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Gauthier, Francois;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.
IEEE Internet of Things Magazine (IoTM)
Academic article
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Transmission-Constrained Scheduling of Spatio-Temporally Dependent Observations Using Age-of-Information.
IEEE Sensors Journal
Academic article
-
Gauthier, Francois;
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2022)
Communication-efficient and privacy-aware distributed LMS algorithm.
Academic chapter/article/Conference paper
-
Talebi, Sayedpouria;
Darvishi, Hossein;
Werner, Stefan;
Rossi, Pierluigi Salvo.
(2022)
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size.
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Academic article
-
Gogineni, Vinay Chakravarthi;
Naumova, Valeriya;
Werner, Stefan;
Huang, Yih-Fang.
(2022)
Graph Kernel Recursive Least-Squares Algorithms.
Academic chapter/article/Conference paper
-
Talebi, Sayedpouria;
Werner, Stefan;
Xia, Yili;
Took, Clive Cheong;
Mandic, Danilo P..
(2022)
A joint particle filter for quaternion-valued alpha-stable signals via the characteristic function.
Academic chapter/article/Conference paper
-
Alex, Daney;
Gogineni, Vinay Chakravarthi;
Mula, Subrahmanyam;
Werner, Stefan.
(2022)
Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm.
IEEE Transactions on Very Large Scale Integration (vlsi) Systems
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2022)
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization.
IEEE Transactions on Information Forensics and Security
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Clustered Graph Federated Personalized Learning.
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information.
IEEE Internet of Things Journal
Academic article
2021
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Optimization Strategy for Energy Allocation through Cooperative Storage Management.
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2021)
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning.
Academic chapter/article/Conference paper
-
Elias, Vitor R. M.;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Elias, Vitor Rosa Meireles;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Kernel regression on graphs in random Fourier features space.
Academic chapter/article/Conference paper
-
Gauthier, Francois;
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2021)
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions.
Academic chapter/article/Conference paper
-
Talebi, Sayedpouria;
Werner, Stefan;
Gupta, Vijay;
Huang, Yih-Fang.
(2021)
On Stability and Convergence of Distributed Filters.
IEEE Signal Processing Letters
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Performance of clustered multitask diffusion LMS suffering from inter-node communication delays.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2021)
Optimal scheduling of multiple spatio-temporally dependent observations using age-of-information.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Elias, Vitor Rosa Meireles;
Werner, Stefan.
(2021)
Graph Diffusion Kernel LMS using Random Fourier Features.
Academic chapter/article/Conference paper
-
Barros, Bettina D'Avila;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2021)
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Mari, Nygård,;
Grasmair, Markus.
(2021)
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Nygård, Mari;
Grasmair, Markus.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Elias, Vitor Rosa Meireles;
Martins, Wallace;
Werner, Stefan.
(2021)
Graph diffusion kernel LMS using random Fourier features.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Energy optimization through cooperative storage management: A calculus of variations approach.
Renewable Energy
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
Academic chapter/article/Conference paper
2020
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy adaptive filters for distributed processing of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2020)
Privacy-Preserving Distributed Maximum Consensus.
IEEE Signal Processing Letters
Academic article
-
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Quaternion-valued distributed filtering and control.
IEEE Transactions on Automatic Control
Academic article
-
Elias, Vitor R. M.;
Martins, Wallace A.;
Werner, Stefan.
(2020)
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy filters for tracking dynamic systems in alpha-stable environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of α -Stable Signals.
IEEE Signal Processing Letters
Academic article
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2020)
Distributed Learning with Non-Smooth Objective
Functions.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2020)
Cost-aware renewable energy management: Centralized vs. distributed generation.
Renewable Energy
Academic article
-
Chen, Kewei;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2020)
Nonlinear adaptive filtering with kernel set-membership approach.
IEEE Transactions on Signal Processing
Academic article
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2020)
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information.
Academic chapter/article/Conference paper
2019
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa;
Talebi, Sayed Pouria.
(2019)
Price-aware renewable energy management with transmission losses.
Academic chapter/article/Conference paper
-
Singh, Adarsh Pal;
Jain, Vivek;
Chaudhari, Sachin;
Kraemer, Frank Alexander;
Werner, Stefan;
Garg, Vishal.
(2019)
Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman filtering in presence of unknown outer network actuations.
IEEE Control Systems Letters
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan;
Li, Shengxi;
Mandic, Danilo.
(2019)
Tracking dynamic systems in alpha-stable environments.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2019)
Complex-Valued Nonlinear Adaptive Filters With
Applications in α-Stable Environments.
IEEE Signal Processing Letters
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion.
IEEE Transactions on Automatic Control
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2019)
Storage management in a shared solar environment with time-varying electricity prices.
IEEE Internet of Things Journal
Academic article
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Lopez-Valcarce, Roberto;
Wichman, Risto.
(2019)
MMSE filter design for full-duplex filter-and-forward MIMO relays under limited dynamic range.
Signal Processing
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Kraemer, Frank Alexander;
Werner, Stefan.
(2019)
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes.
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2019)
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming.
Academic chapter/article/Conference paper
-
Shastri, Anish;
Jain, Vivek;
Chaudhari, Sachin;
Chouhan, Shailesh Singh;
Werner, Stefan.
(2019)
Improving accuracy of the Shewhart-based data-reduction in IoT nodes using piggybacking.
Academic chapter/article/Conference paper
2018
-
Kashyap, Neelabh;
Werner, Stefan;
Huang, Yih-Fang.
(2018)
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication.
IEEE Journal on Selected Topics in Signal Processing
Academic article
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2018)
Distributed Ridge Regression with Feature Partitioning.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2018)
Distributed Kalman filtering: Consensus, diffusion, and
mixed.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Renewable energy optimization with centralized and distributed generation.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Cooperative renewable energy management with distributed generation.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Koivunen, Visa.
(2018)
Kalman Filtering and Clustering in Sensor Networks.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2018)
Distributed adaptive filtering of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Chen, Kewei;
Werner, Stefan;
Kuh, Anthony;
Huang, Yih-Fang.
(2018)
Nonlinear online learning - A kernel SMF approach.
Academic chapter/article/Conference paper
-
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2018)
Privacy-preserving distributed precoder design for decentralized estimation.
Academic chapter/article/Conference paper
2017
-
Mathecken, Pramod;
Riihonen, Taneli;
Werner, Stefan;
Wichman, Risto.
(2017)
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback.
IEEE Transactions on Signal Processing
Academic article
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Riihonen, Taneli;
Wichman, Risto.
(2017)
Robust Filter Design for Full-Duplex Relay Links under Limited Dynamic Range.
Academic chapter/article/Conference paper
Journal publications
-
Dhuli, Venkata Sateeshkrishna;
Kouachi, Said;
Sah, Abhay Kumar;
Werner, Stefan.
(2025)
Analysis of Exponential Correlation Matrices for Massive MIMO Systems.
IEEE Communications Letters
Academic article
-
Mirzaeifard, Reza;
Ghaderyan, Diyako;
Werner, Stefan.
(2025)
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties.
IEEE Signal Processing Letters
Academic article
-
Lari, Ehsan;
Arablouei, Reza;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2025)
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks Via Partial Sharing.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Mirzaeifard, Reza;
Ghaderyan, Diyako;
Werner, Stefan.
(2025)
Federated smoothing proximal gradient for quantile regression with non-convex penalties.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Dhuli, Venkata Sateeshkrishna;
Kouachi, Said;
Werner, Stefan.
(2025)
Optimal Analysis of Consensus Algorithms for r-nearest ring networks.
IEEE Signal Processing Letters
Academic article
-
Cheema, Muhammad Asaad;
Gogineni, Vinay Chakravarthi;
Rossi, Pierluigi Salvo;
Werner, Stefan.
(2024)
Networked Federated Meta-Learning Over Extending Graphs.
IEEE Internet of Things Journal
Academic article
-
Gogineni, Vinay Chakravarthi;
Müller, Katinka;
Orlandic, Milica;
Werner, Stefan.
(2024)
Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection.
IEEE Geoscience and Remote Sensing Letters
Academic article
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Communication-efficient and privacy-aware distributed learning.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Gogineni, Vinay Chakravarthi;
Sambangi, Ramesh;
Alex, Daney;
Mula, Subrahmanyam;
Werner, Anders Stefan.
(2023)
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters.
IEEE Transactions on Circuits and Systems I: Regular Papers
Academic article
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Anders Stefan.
(2023)
Resource-efficient federated learning robust to communication errors.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines.
IEEE Sensors Journal
Academic article
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Robust phase retrieval with non-convex penalties.
Asilomar Conference on Signals, Systems and Computers. Conference Record
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan.
(2023)
Networked personalized federated learning using reinforcement learning.
IEEE International Conference on Communications
Academic article
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Anders Stefan.
(2023)
Distributed quantile regression with non-convex sparse penalties.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Asynchronous online federated learning with reduced communication requirements.
IEEE Internet of Things Journal
Academic article
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2023)
Smoothing ADMM for Sparse-Penalized Quantile Regression With Non-Convex Penalties.
IEEE Open Journal of Signal Processing
Academic article
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2023)
Personalized Graph Federated Learning With Differential Privacy.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Strategies for Kernel Regression.
IEEE Internet of Things Journal
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Gauthier, Francois Jean Rene;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.
IEEE Internet of Things Magazine (IoTM)
Academic article
-
Elias, Vitor Rosa Meireles;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2022)
Kernel Regression over Graphs using Random Fourier Features.
IEEE Transactions on Signal Processing
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Gauthier, Francois;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.
IEEE Internet of Things Magazine (IoTM)
Academic article
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Transmission-Constrained Scheduling of Spatio-Temporally Dependent Observations Using Age-of-Information.
IEEE Sensors Journal
Academic article
-
Talebi, Sayedpouria;
Darvishi, Hossein;
Werner, Stefan;
Rossi, Pierluigi Salvo.
(2022)
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size.
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Academic article
-
Alex, Daney;
Gogineni, Vinay Chakravarthi;
Mula, Subrahmanyam;
Werner, Stefan.
(2022)
Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm.
IEEE Transactions on Very Large Scale Integration (vlsi) Systems
Academic article
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2022)
Privacy-Preserving Distributed Kalman Filtering.
IEEE Transactions on Signal Processing
Academic article
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2022)
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization.
IEEE Transactions on Information Forensics and Security
Academic article
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan;
Varshney, Pramod K..
(2022)
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information.
IEEE Internet of Things Journal
Academic article
-
Elias, Vitor R. M.;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Talebi, Sayedpouria;
Werner, Stefan;
Gupta, Vijay;
Huang, Yih-Fang.
(2021)
On Stability and Convergence of Distributed Filters.
IEEE Signal Processing Letters
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Performance of clustered multitask diffusion LMS suffering from inter-node communication delays.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Energy optimization through cooperative storage management: A calculus of variations approach.
Renewable Energy
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
IEEE Statistical Signal Processing Workshop (SSP)
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy adaptive filters for distributed processing of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2020)
Privacy-Preserving Distributed Maximum Consensus.
IEEE Signal Processing Letters
Academic article
-
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Quaternion-valued distributed filtering and control.
IEEE Transactions on Automatic Control
Academic article
-
Elias, Vitor R. M.;
Martins, Wallace A.;
Werner, Stefan.
(2020)
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances.
IEEE Transactions on Signal and Information Processing over Networks
Academic article
-
Gogineni, Vinay Chakravarthi;
Talebi, Sayedpouria;
Werner, Stefan;
Mandic, Danilo.
(2020)
Fractional-order correntropy filters for tracking dynamic systems in alpha-stable environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments.
IEEE Transactions on Circuits and Systems - II - Express Briefs
Academic article
-
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2020)
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of α -Stable Signals.
IEEE Signal Processing Letters
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2020)
Cost-aware renewable energy management: Centralized vs. distributed generation.
Renewable Energy
Academic article
-
Chen, Kewei;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2020)
Nonlinear adaptive filtering with kernel set-membership approach.
IEEE Transactions on Signal Processing
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman filtering in presence of unknown outer network actuations.
IEEE Control Systems Letters
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2019)
Complex-Valued Nonlinear Adaptive Filters With
Applications in α-Stable Environments.
IEEE Signal Processing Letters
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2019)
Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion.
IEEE Transactions on Automatic Control
Academic article
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2019)
Storage management in a shared solar environment with time-varying electricity prices.
IEEE Internet of Things Journal
Academic article
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Lopez-Valcarce, Roberto;
Wichman, Risto.
(2019)
MMSE filter design for full-duplex filter-and-forward MIMO relays under limited dynamic range.
Signal Processing
Academic article
-
Kashyap, Neelabh;
Werner, Stefan;
Huang, Yih-Fang.
(2018)
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication.
IEEE Journal on Selected Topics in Signal Processing
Academic article
-
Talebi, Sayed Pouria;
Werner, Stefan;
Mandic, Danilo.
(2018)
Distributed adaptive filtering of alpha-stable signals.
IEEE Signal Processing Letters
Academic article
-
Mathecken, Pramod;
Riihonen, Taneli;
Werner, Stefan;
Wichman, Risto.
(2017)
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback.
IEEE Transactions on Signal Processing
Academic article
Part of book/report
-
Mirzaeifard, Reza;
Werner, Stefan.
(2025)
Federated smoothing ADMM for quantile regression with non-convex sparse penalties.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Arablouei, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2024)
Distributed maximum consensus over noisy links.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Arablouei, Reza;
Werner, Stefan.
(2024)
Privacy-preserving distributed nonnegative matrix factorization.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Stefan.
(2024)
On the resilience of online federated learning to model poisoning attacks through partial sharing.
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Venkategowda, Naveen K. D.;
Werner, Anders Stefan.
(2023)
Robust Networked Federated Learning for Localization.
Academic chapter/article/Conference paper
-
Lari, Ehsan;
Gogineni, Vinay Chakravarthi;
Arablouei, Reza;
Werner, Anders Stefan.
(2023)
Continual local updates for federated learning with enhanced robustness to link noise.
Academic chapter/article/Conference paper
-
Müller, Katinka;
Gogineni, Vinay Chakravarthi;
Orlandic, Milica;
Werner, Anders Stefan.
(2023)
Autoencoder-based hyperspectral anomaly detection using kernel principal component pre-processing.
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Jung, Alexander;
Werner, Anders Stefan.
(2023)
Moreau envelope ADMM for decentralized weakly convex optimization.
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Gogineni, Vinay Chakravarthi;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2022)
Dynamic Graph Topology Learning with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Mirzaeifard, Reza;
Venkategowda, Naveen Kumar Dasanadoddi;
Gogineni, Vinay Chakravarthi;
Werner, Stefan.
(2022)
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Decentralized Graph Federated Multitask Learning for Streaming Data.
Academic chapter/article/Conference paper
-
Gauthier, Francois;
Gogineni, Vinay Chakravarthi;
Werner, Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2022)
Communication-efficient and privacy-aware distributed LMS algorithm.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Naumova, Valeriya;
Werner, Stefan;
Huang, Yih-Fang.
(2022)
Graph Kernel Recursive Least-Squares Algorithms.
Academic chapter/article/Conference paper
-
Talebi, Sayedpouria;
Werner, Stefan;
Xia, Yili;
Took, Clive Cheong;
Mandic, Danilo P..
(2022)
A joint particle filter for quaternion-valued alpha-stable signals via the characteristic function.
Academic chapter/article/Conference paper
-
Gauthier, Francois Jean Rene;
Gogineni, Vinay Chakravarthi;
Werner, Anders Stefan;
Huang, Yih-Fang;
Kuh, Anthony.
(2022)
Clustered Graph Federated Personalized Learning.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2021)
Optimization Strategy for Energy Allocation through Cooperative Storage Management.
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2021)
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning.
Academic chapter/article/Conference paper
-
Elias, Vitor Rosa Meireles;
Gogineni, Vinay Chakravarthi;
Martins, Wallace;
Werner, Stefan.
(2021)
Kernel regression on graphs in random Fourier features space.
Academic chapter/article/Conference paper
-
Gauthier, Francois;
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2021)
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions.
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2021)
Optimal scheduling of multiple spatio-temporally dependent observations using age-of-information.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Elias, Vitor Rosa Meireles;
Werner, Stefan.
(2021)
Graph Diffusion Kernel LMS using Random Fourier Features.
Academic chapter/article/Conference paper
-
Barros, Bettina D'Avila;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2021)
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Mari, Nygård,;
Grasmair, Markus.
(2021)
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Securing the Distributed Kalman Filter Against Curious Agents.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Langberg, Geir Severin Rakh Elvatun;
Naumova, Valeriya;
Nygård, Jan Franz;
Nygård, Mari;
Grasmair, Markus.
(2021)
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
Academic chapter/article/Conference paper
-
Gogineni, Vinay Chakravarthi;
Elias, Vitor Rosa Meireles;
Martins, Wallace;
Werner, Stefan.
(2021)
Graph diffusion kernel LMS using random Fourier features.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Talebi, Sayedpouria;
Werner, Stefan.
(2021)
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries.
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2020)
Distributed Learning with Non-Smooth Objective
Functions.
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2020)
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa;
Talebi, Sayed Pouria.
(2019)
Price-aware renewable energy management with transmission losses.
Academic chapter/article/Conference paper
-
Singh, Adarsh Pal;
Jain, Vivek;
Chaudhari, Sachin;
Kraemer, Frank Alexander;
Werner, Stefan;
Garg, Vishal.
(2019)
Machine Learning-based Occupancy Estimation Using Multivariate Sensor Nodes.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Li, Shengxi;
Mandic, Danilo.
(2019)
Tracking dynamic systems in alpha-stable environments.
Academic chapter/article/Conference paper
-
Moradi, Ashkan;
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2019)
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering.
Academic chapter/article/Conference paper
-
Håkansson, Victor Wattin;
Venkategowda, Naveen Kumar Dasanadoddi;
Kraemer, Frank Alexander;
Werner, Stefan.
(2019)
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes.
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2019)
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming.
Academic chapter/article/Conference paper
-
Shastri, Anish;
Jain, Vivek;
Chaudhari, Sachin;
Chouhan, Shailesh Singh;
Werner, Stefan.
(2019)
Improving accuracy of the Shewhart-based data-reduction in IoT nodes using piggybacking.
Academic chapter/article/Conference paper
-
Gratton, Cristiano;
Venkategowda, Naveen Kumar Dasanadoddi;
Arablouei, Reza;
Werner, Stefan.
(2018)
Distributed Ridge Regression with Feature Partitioning.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan.
(2018)
Distributed Kalman filtering: Consensus, diffusion, and
mixed.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Renewable energy optimization with centralized and distributed generation.
Academic chapter/article/Conference paper
-
Leithon, Johann;
Werner, Stefan;
Koivunen, Visa.
(2018)
Cooperative renewable energy management with distributed generation.
Academic chapter/article/Conference paper
-
Talebi, Sayed Pouria;
Werner, Stefan;
Koivunen, Visa.
(2018)
Kalman Filtering and Clustering in Sensor Networks.
Academic chapter/article/Conference paper
-
Chen, Kewei;
Werner, Stefan;
Kuh, Anthony;
Huang, Yih-Fang.
(2018)
Nonlinear online learning - A kernel SMF approach.
Academic chapter/article/Conference paper
-
Venkategowda, Naveen Kumar Dasanadoddi;
Werner, Stefan.
(2018)
Privacy-preserving distributed precoder design for decentralized estimation.
Academic chapter/article/Conference paper
-
Antonio-Rodrigues, Emilio;
Werner, Stefan;
Riihonen, Taneli;
Wichman, Risto.
(2017)
Robust Filter Design for Full-Duplex Relay Links under Limited Dynamic Range.
Academic chapter/article/Conference paper
Report
-
Mirzaeifard, Reza;
Werner, Stefan;
Venkategowda, Naveen Kumar Dasanadoddi.
(2025)
Single‑Loop Non‑Convex Optimization for Robust and Sparse Learning in IoT.
Norges teknisk-naturvitenskapelige universitet
Norges teknisk-naturvitenskapelige universitet
Doctoral dissertation
Teaching
Courses
Outreach
2024
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Academic lectureLari, Ehsan; Arablouei, Reza; Werner, Stefan. (2024) Privacy-preserving distributed nonnegative matrix factorization. European Signal Processing Conference , Lyon, France 2024-08-26 - 2024-08-30
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PosterLari, Ehsan; Arablouei, Reza; Gogineni, Vinay Chakravarthi; Werner, Stefan. (2024) On the resilience of online federated learning to model poisoning attacks through partial sharing. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Seoul, Korea 2024-04-14 - 2024-09-19
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Academic lectureLari, Ehsan; Arablouei, Reza; Venkategowda, Naveen Kumar Dasanadoddi; Werner, Stefan. (2024) Distributed maximum consensus over noisy links. European Signal Processing Conference , Lyon, France 2024-08-26 - 2024-08-30
2023
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Academic lectureLari, Ehsan; Gogineni, Vinay Chakravarthi; Arablouei, Reza; Werner, Stefan. (2023) Continual local updates for federated learning with enhanced robustness to link noise. Asia Pacific Signal and Information Processing Association Annual Summit and Conference , Taipei, Taiwan 2023-10-31 - 2023-11-03
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Academic lectureLari, Ehsan; Gogineni, Vinay Chakravarthi; Arablouei, Reza; Werner, Stefan. (2023) Resource-efficient federated learning robust to communication errors. IEEE Statistical Signal Processing Workshop , Hanoi, Vietnam 2023-07-02 - 2023-07-05
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PosterGauthier, Francois Jean Rene; Gogineni, Vinay Chakravarthi; Werner, Stefan. (2023) Networked Personalized Federated Learning Using Reinforcement Learning. IEEE International Conference on Communications , Rome, Italy 2023-05-28 - 2023-06-01
2022
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PosterTalebi, Sayed Pouria; Werner, Stefan; Xia, Yili; Took, Clive Cheong; Mandic, Danilo. (2022) A joint particle filter for quaternion-valued alpha-stable signals via the characteristic function. Sensor Array and Multichannel Signal Processing Workshop , Trondheim, Norway 2022-06-20 - 2022-06-23
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Academic lectureMirzaeifard, Reza; Gogineni, Vinay Chakravarthi; Venkategowda, Naveen Kumar Dasanadoddi; Werner, Stefan. (2022) Dynamic Graph Topology Learning with Non-Convex Penalties. European Signal Processing Conference , Belgrade, Serbia 2022-08-29 - 2022-09-02
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Academic lectureGauthier, Francois Jean Rene; Gogineni, Vinay Chakravarthi; Werner, Stefan; Huang, Yih-Fang; Kuh, Anthony. (2022) Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. IEEE International Conference on Communications , Seoul, Korea 2022-05-16 - 2022-05-20
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Academic lectureGogineni, Vinay Chakravarthi; Moradi, Ashkan; Venkategowda, Naveen Kumar Dasanadoddi; Werner, Stefan. (2022) Communication-efficient and privacy-aware distributed LMS algorithm. International Conference on Information Fusion , Linköping, Sweden 2022-07-04 - 2022-07-07
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Academic lectureMirzaeifard, Reza; Venkategowda, Naveen Kumar Dasanadoddi; Gogineni, Vinay Chakravarthi; Werner, Stefan. (2022) ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. European Signal Processing Conference , Belgrade, Serbia 2022-08-29 - 2022-09-30
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Academic lectureGogineni, Vinay Chakravarthi; Werner, Stefan; Huang, Yih-Fang; Kuh, Anthony. (2022) Decentralized Graph Federated Multitask Learning for Streaming Data. Annual Conference on Information Sciences and Systems , Princeton University, NJ, USA 2022-03-09 - 2022-03-11
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Academic lectureGauthier, Francois Jean Rene; Gogineni, Vinay Chakravarthi; Werner, Stefan; Huang, Yih-Fang; Kuh, Anthony. (2022) Clustered Graph Federated Personalized Learning. Asilomar Conference on Signals, Systems, and Computers , Pacific Grove, CA, USA 2022-10-31 - 2022-11-02
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Academic lectureGogineni, Vinay Chakravarthi; Werner, Stefan; Huang, Yih-Fang; Kuh, Anthony. (2022) Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. IEEE International Conference on Acoustics, Speech and Signal Processing , Singapore, Singapore 2022-05-23 - 2022-05-27
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PosterTalebi, Sayed Pouria; Darvishi, Hossein; Rossi, Pierluigi Salvo; Werner, Stefan. (2022) Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size. IEEE Sensor Array and Multichannel Signal Processing Workshop , Trondheim, Norway 2022-06-20 - 2022-06-23
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LectureMoradi, Ashkan; Venkategowda, Naveen Kumar Dasanadoddi; Talebi, Sayedpouria; Werner, Stefan. (2022) Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries. 55th Asilomar Conference on Signals, Systems, and Computers (Asilomar 2021) , Virtual conference 2021-10-31 - 2021-11-03
2019
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LectureMoradi, Ashkan; Venkategowda, Naveen Kumar Dasanadoddi; Werner, Stefan. (2019) Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering. 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2019-12-15 - 2019-12-18
2018
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PosterSteinsland, Ingelin; Mortensen, Markus; Kraemer, Frank Alexander; Werner, Stefan. (2018) Towards Smart, Resource-Constrained Environmental Sensor Networks. European Geosciences Union General Assembly 2018 2018-04-08 - 2018-04-13