Stefan Werner

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 111

Top Venues

CoRR

EUSIPCO

ICASSP

IEEE Trans. Signal Process.

Publications

Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner
Distributed Maximum Consensus over Noisy Links. CoRR (2024)
Ehsan Lari, Reza Arablouei, Stefan Werner
Privacy-Preserving Distributed Nonnegative Matrix Factorization. CoRR (2024)
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing. ICASSP (2024)
Vinay Chakravarthi Gogineni, Katinka Müller, Milica Orlandic, Stefan Werner
Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks. CoRR (2024)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
Robust Networked Federated Learning for Localization. APSIPA ASC (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner
Networked Personalized Federated Learning Using Reinforcement Learning. ICC (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Asynchronous Online Federated Learning with Reduced Communication Requirements. CoRR (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Personalized Graph Federated Learning with Differential Privacy. CoRR (2023)
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
Resource-Efficient Federated Learning Robust to Communication Errors. SSP (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. CoRR (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Asynchronous Online Federated Learning With Reduced Communication Requirements. IEEE Internet Things J. 10 (23) (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. CoRR (2023)
Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
Distributed Quantile Regression with Non-Convex Sparse Penalties. SSP (2023)
Vinay Chakravarthi Gogineni, Ramesh Sambangi, Daney Alex, Subrahmanyam Mula, Stefan Werner
Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (2) (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. APSIPA ASC (2023)
Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandic, Stefan Werner
Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. EUSIPCO (2023)
Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
Communication-Efficient and Privacy-Aware Distributed Learning. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
Robust Networked Federated Learning for Localization. CoRR (2023)
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise. APSIPA ASC (2023)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Personalized Graph Federated Learning With Differential Privacy. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Communication-Efficient Online Federated Learning Strategies for Kernel Regression. IEEE Internet Things J. 10 (5) (2023)
Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Fractional-Order Learning Systems. IJCNN (2022)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. EUSIPCO (2022)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. ICC (2022)
Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner
Privacy-Preserving Distributed Kalman Filtering. IEEE Trans. Signal Process. 70 (2022)
Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
Kernel Regression Over Graphs Using Random Fourier Features. IEEE Trans. Signal Process. 70 (2022)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner, Pramod K. Varshney
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information. IEEE Internet Things J. 9 (20) (2022)
Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
Communication-Efficient and Privacy-Aware Distributed LMS Algorithm. FUSION (2022)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
Robust Phase Retrieval with Non-Convex Penalties. IEEECONF (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Decentralized Graph Federated Multitask Learning for Streaming Data. CISS (2022)
Sayed Pouria Talebi, Stefan Werner, Yih-Fang Huang, Vijay Gupta
Distributed Algebraic Riccati Equations in Multi-Agent Systems. ECC (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, François Gauthier, Yih-Fang Huang, Anthony Kuh
Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions. IEEE Internet Things Mag. 5 (4) (2022)
Sayed Pouria Talebi, Hossein Darvishi, Stefan Werner, Pierluigi Salvo Rossi
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size. SAM (2022)
Sayed Pouria Talebi, Stefan Werner, Yili Xia, Clive Cheong Took, Danilo P. Mandic
A Joint Particle Filter for Quaternion-Valued $\alpha$-Stable Signals via the Characteristic Function. SAM (2022)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization. IEEE Trans. Inf. Forensics Secur. 17 (2022)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Clustered Graph Federated Personalized Learning. IEEECONF (2022)
Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner
Dynamic Graph Topology Learning with Non-Convex Penalties. EUSIPCO (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. ICASSP (2022)
Daney Alex, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, Stefan Werner
Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm. IEEE Trans. Very Large Scale Integr. Syst. 30 (7) (2022)
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression. CoRR (2021)
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP (2021)
Vinay Chakravarthi Gogineni, Valeriya Naumova, Stefan Werner, Yih-Fang Huang
Graph Kernel Recursive Least-Squares Algorithms. APSIPA ASC (2021)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning. EUSIPCO (2021)
Sayed Pouria Talebi, Stefan Werner, Vijay Gupta, Yih-Fang Huang
On Stability and Convergence of Distributed Filters. IEEE Signal Process. Lett. 28 (2021)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner
Optimal Transmission Threshold and Channel Allocation Strategies for Heterogeneous Sensor Data. ACSCC (2021)
Bettina D. Barros, Naveen K. D. Venkategowda, Stefan Werner
Quickest Detection of Stochastic False Data Injection Attacks with Unknown Parameters. SSP (2021)
Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries. ACSCC (2021)
Sayed Pouria Talebi, Stefan Werner, Vijay Gupta, Yih-Fang Huang
On Stability and Convergence of Distributed Filters. CoRR (2021)
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC (2021)
Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner
Performance of Clustered Multitask Diffusion LMS Suffering From Inter-Node Communication Delays. IEEE Trans. Circuits Syst. II Express Briefs 68 (7) (2021)
Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner
Kernel Regression on Graphs in Random Fourier Features Space. ICASSP (2021)
François Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression. CoRR (2021)
Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner
Securing the D istributed Kalman Filter Against Curious Agents. FUSION (2021)
Johann Leithon, Stefan Werner, Visa Koivunen
Optimization Strategy for Energy Allocation through Cooperative Storage Management. SmartGridComm (2021)
Vitor R. M. Elias, Wallace A. Martins, Stefan Werner
Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Kewei Chen, Stefan Werner, Anthony Kuh, Yih-Fang Huang
Nonlinear Adaptive Filtering With Kernel Set-Membership Approach. IEEE Trans. Signal Process. 68 (2020)
Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals. IEEE Signal Process. Lett. 27 (2020)
Vinay Chakravarthi Gogineni, Vitor R. M. Elias, Wallace A. Martins, Stefan Werner
Graph Diffusion Kernel LMS using Random Fourier Features. ACSSC (2020)
Naveen K. D. Venkategowda, Stefan Werner
Privacy-Preserving Distributed Maximum Consensus. IEEE Signal Process. Lett. 27 (2020)
Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments. IEEE Trans. Circuits Syst. (12) (2020)
François Gauthier, Cristiano Gratton, Naveen K. D. Venkategowda, Stefan Werner
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions. ACSSC (2020)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner
Optimal Scheduling of Multiple Spatio-temporally Dependent Observations using Age-of-Information. ACSSC (2020)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner
Optimal Scheduling Policy for Spatio-temporally Dependent Observations using Age-of-Information. FUSION (2020)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Distributed Learning with Non-Smooth Objective Functions. EUSIPCO (2020)
Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Quaternion-Valued Distributed Filtering and Control. IEEE Trans. Autom. Control. 65 (10) (2020)
Anish Shastri, Vivek Jain, Sachin Chaudhari, Shailesh Singh Chouhan, Stefan Werner
Improving Accuracy of the Shewhart-based Data-Reduction in IoT Nodes using Piggybacking. WF-IoT (2019)
Sayed Pouria Talebi, Stefan Werner
Distributed Kalman Filtering in Presence of Unknown Outer Network Actuations. IEEE Control. Syst. Lett. 3 (1) (2019)
Emilio Antonio-Rodriguez, Stefan Werner, Roberto López-Valcarce, Risto Wichman
MMSE Filter Design for Full-duplex Filter-and-forward MIMO Relays under Limited Dynamic Range. Signal Process. 156 (2019)
Johann Leithon, Stefan Werner, Visa Koivunen, Sayed Pouria Talebi
Price-aware Renewable Energy Management with Transmission Losses. ICASSP (2019)
Sayed Pouria Talebi, Stefan Werner, Shengxi Li, Danilo P. Mandic
Tracking Dynamic Systems in α-Stable Environments. ICASSP (2019)
Johann Leithon, Stefan Werner, Visa Koivunen
Storage Management in a Shared Solar Environment With Time-Varying Electricity Prices. IEEE Internet Things J. 6 (5) (2019)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Frank Alexander Kraemer, Stefan Werner
Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes. EUSIPCO (2019)
Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner
Coordinated Data-Falsification Attacks in Consensus-based Distributed Kalman Filtering. CAMSAP (2019)
Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Complex-Valued Nonlinear Adaptive Filters With Applications in $\alpha$-Stable Environments. IEEE Signal Process. Lett. 26 (9) (2019)
Sayed Pouria Talebi, Stefan Werner
Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion. IEEE Trans. Autom. Control. 64 (10) (2019)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming. ICASSP (2019)
Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic
Distributed Adaptive Filtering of α-Stable Signals. IEEE Signal Process. Lett. 25 (10) (2018)
Sayed Pouria Talebi, Stefan Werner, Visa Koivunen
Kalman Filtering and Clustering in Sensor Networks. ICASSP (2018)
Johann Leithon, Stefan Werner, Visa Koivunen
Renewable Energy Optimization with Centralized and Distributed Generation. EUSIPCO (2018)
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
Distributed Ridge Regression with Feature Partitioning. ACSSC (2018)
Johann Leithon, Stefan Werner, Visa Koivunen
Cooperative Renewable Energy Management with Distributed Generation. EUSIPCO (2018)
Adarsh Pal Singh, Vivek Jain, Sachin Chaudhari, Frank Alexander Kraemer, Stefan Werner, Vishal Garg
Machine Learning-Based Occupancy Estimation Using Multivariate Sensor Nodes. GLOBECOM Workshops (2018)
Naveen K. D. Venkategowda, Stefan Werner
Privacy-Preserving Distributed Precoder Design for Decentralized Estimation. GlobalSIP (2018)
Sayed Pouria Talebi, Stefan Werner
Distributed Kalman Filtering: Consensus, Diffusion, and Mixed. CCTA (2018)
Kewei Chen, Stefan Werner, Anthony Kuh, Yih-Fang Huang
Nonlinear Online Learning - A Kernel SMF Approach. APSIPA (2018)
Neelabh Kashyap, Stefan Werner, Yih-Fang Huang
Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication. IEEE J. Sel. Top. Signal Process. 12 (4) (2018)
Stefan Werner, Dennis Heinrich, Thilo Pionteck, Sven Groppe
Semi-static operator graphs for accelerated query execution on FPGAs. Microprocess. Microsystems 53 (2017)
Emilio Antonio-Rodriguez, Stefan Werner, Roberto López-Valcarce, Taneli Riihonen, Risto Wichman
Wideband full-duplex MIMO relays with blind adaptive self-interference cancellation. Signal Process. 130 (2017)
Reza Arablouei, Kutluyil Dogançay, Stefan Werner, Yih-Fang Huang
On the asymptotic bias of the diffusion-based distributed pareto optimization. Signal Process. 130 (2017)
Pramod Mathecken, Taneli Riihonen, Stefan Werner, Risto Wichman
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback. IEEE Trans. Signal Process. 65 (9) (2017)
Emilio Antonio-Rodriguez, Stefan Werner, Taneli Riihonen, Risto Wichman
Robust filter design for full-duplex relay links under limited dynamic range. SPAWC (2017)
Neelabh Kashyap, Stefan Werner, Jarmo Lundén
Signal-dependent preprocessing of buffered PMU measurements for hybrid state estimation. I2MTC (2016)
Fernando Chierchie, Juan E. Cousseau, Eduardo E. Paolini, Stefan Werner
Mitigation of pulse-width-modulation distortion using a digital predistorter based on memory polynomials. Signal Process. 120 (2016)
Neelabh Kashyap, Stefan Werner, Yih-Fang Huang, Reza Arablouei
Privacy preserving decentralized power system state estimation with phasor measurement units. SAM (2016)
Pramod Mathecken, Taneli Riihonen, Stefan Werner, Risto Wichman
Phase Noise Estimation in OFDM: Utilizing Its Associated Spectral Geometry. IEEE Trans. Signal Process. 64 (8) (2016)
Stefan Werner, Jarmo Lundén
Smart Load Tracking and Reporting for Real-Time Metering in Electric Power Grids. IEEE Trans. Smart Grid 7 (3) (2016)
Stefan Werner, Dennis Heinrich, Marc Stelzner, Volker Linnemann, Thilo Pionteck, Sven Groppe
Accelerated join evaluation in Semantic Web databases by using FPGAs. Concurr. Comput. Pract. Exp. 28 (7) (2016)
Pramod Mathecken, Taneli Riihonen, Stefan Werner, Risto Wichman
Constrained Phase Noise Estimation in OFDM Using Scattered Pilots Without Decision Feedback. CoRR (2016)

Stefan Werner.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Stefan Werner