Federated Learning: A Signal Processing Perspective

31 March 2021

Papers citing "Federated Learning: A Signal Processing Perspective"

48 / 48 papers shown

Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks Zubair Shaban Nazreen Shah Ranjitha Prasad 37 0 0 25 Mar 2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework Erik G. Larsson Nicolo Michelusi 54 0 0 18 Mar 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning Ori Peleg Natalie Lang Stefano Rini Nir Shlezinger Kobi Cohen FedML 53 0 0 17 Mar 2025
Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation Kürşat Tekbıyık Gunes Karabulut Kurt Antoine Lesage-Landry 29 0 0 17 Nov 2024
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis Alexandros Gkillas Aris Lalos 25 1 0 06 Nov 2024
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks Xingchi Liu Lyudmila Mihaylova Jemin George T. Pham 37 9 0 11 Sep 2024
Federated Learning with Multi-resolution Model Broadcast Henrik Rydén Reza Moosavi Erik G. Larsson 39 1 0 30 May 2024
Decentralized Federated Learning Over Imperfect Communication Channels Weicai Li Tiejun Lv Wei Ni Jingbo Zhao Ekram Hossain H. Vincent Poor FedML 34 3 0 21 May 2024
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach Chung-Hsuan Hu Zheng Chen Erik G. Larsson 31 2 0 20 May 2024
Bayesian Federated Inference for Survival Models H. Pazira Emanuele Massa Jetty AM Weijers Anthony C. C. Coolen Marianne A Jonker FedML 31 2 0 26 Apr 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 53 4 0 27 Mar 2024
Enhancing Privacy in Federated Learning through Local Training Nicola Bastianello Changxin Liu Karl H. Johansson 46 2 0 26 Mar 2024
Boosting Fairness and Robustness in Over-the-Air Federated Learning Halil Yigit Oksuz Fabio Molinari Henning Sprekeler Joerg Raisch FedML 27 0 0 07 Mar 2024
Federated Learning Using Coupled Tensor Train Decomposition Xiangtao Zhang Eleftherios Kofidis Ce Zhu Le Zhang Yipeng Liu FedML 46 1 0 05 Mar 2024
Bayesian Federated Inference for regression models with heterogeneous multi-center populations Marianne A Jonker H. Pazira Anthony C. C. Coolen FedML 19 0 0 05 Feb 2024
Over-the-Air Federated Learning with Phase Noise: Analysis and Countermeasures Martin Dahl Erik G. Larsson FedML 16 1 0 16 Jan 2024
Sparse Training for Federated Learning with Regularized Error Correction Ran Greidi Kobi Cohen FedML 25 1 0 21 Dec 2023
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems Tamir L. S. Gez Kobi Cohen 24 2 0 06 Dec 2023
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM Yoav Noah Nir Shlezinger 30 4 0 21 Sep 2023
Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing Hadar Szostak Kobi Cohen 33 3 0 14 Sep 2023
Robust Online Learning over Networks Nicola Bastianello D. Deplano M. Franceschelli Karl H. Johansson OffRL 24 3 0 01 Sep 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 72 4 0 01 Aug 2023
Online Distributed Learning with Quantized Finite-Time Coordination Nicola Bastianello Apostolos I. Rikos Karl H. Johansson FedML 19 2 0 13 Jul 2023
Deep Equilibrium Models Meet Federated Learning A. Gkillas D. Ampeliotis K. Berberidis FedML 42 3 0 29 May 2023
Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference Zhanwei Wang Kaibin Huang Yonina C. Eldar 25 9 0 10 May 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach Dan Ben Ami Kobi Cohen Qing Zhao FedML 24 11 0 18 Mar 2023
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets Marianne A Jonker H. Pazira Anthony C. C. Coolen FedML 20 5 0 15 Feb 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 22 18 0 29 Dec 2022
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments Ayano Nakai-Kasai T. Wadayama FedML 27 0 0 23 Dec 2022
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks Chung-Hsuan Hu Zheng Chen Erik G. Larsson 27 64 0 14 Dec 2022
Scalable Hierarchical Over-the-Air Federated Learning Seyed Mohammad Azimi-Abarghouyi Viktoria Fodor 18 11 0 29 Nov 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 27 31 0 14 Oct 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 34 46 0 23 Aug 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 23 6 0 14 Jun 2022
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge M. Malka Erez Farhan Hai Morgenstern Nir Shlezinger FedML 25 12 0 07 Jun 2022
Restless Multi-Armed Bandits under Exogenous Global Markov Process Tomer Gafni M. Yemini Kobi Cohen 22 3 0 28 Feb 2022
Learning in Restless Bandits under Exogenous Global Markov Process Tomer Gafni M. Yemini Kobi Cohen 17 13 0 17 Dec 2021
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks Yoel Bokobza R. Dabora Kobi Cohen 33 13 0 24 Oct 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 26 31 0 14 Oct 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels Raz Paul Yuval Friedman Kobi Cohen 27 30 0 26 Jul 2021
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning Chung-Hsuan Hu Zheng Chen Erik G. Larsson FedML 16 29 0 23 Jul 2021
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 28 315 0 15 Dec 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 76 92 0 19 Oct 2020
Over-the-Air Federated Learning from Heterogeneous Data Tomer Sery Nir Shlezinger Kobi Cohen Yonina C. Eldar FedML 14 195 0 27 Sep 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 37 22 0 25 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 35 629 0 31 Dec 2019
Robust Analog Function Computation via Wireless Multiple-Access Channels Mario Goldenbaum S. Stańczak 52 176 0 10 Oct 2012