On the Convergence of Decentralized Federated Learning Under Imperfect
Information Sharing

On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing

19 March 2023

Vishnu Pandi Chellapandi

Antesh Upadhyay

Abolfazl Hashemi

Stanislaw H. .Zak

Papers citing "On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing"

19 / 19 papers shown

Title
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 82 8 0 18 Feb 2025
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 26 0 0 24 Oct 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 30 2 0 26 Sep 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD Jie Hu Yi-Ting Ma Do Young Eun FedML 27 0 0 26 Sep 2024
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks Duong Thuy Anh Nguyen Su Wang Duong Tung Nguyen Angelia Nedich H. Vincent Poor 34 0 0 25 Sep 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 49 1 0 01 Jun 2024
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis Vishnu Pandi Chellapandi Antesh Upadhyay Abolfazl Hashemi Stanislaw H. .Zak FedML 30 2 0 20 Mar 2024
Boosting Fairness and Robustness in Over-the-Air Federated Learning Halil Yigit Oksuz Fabio Molinari Henning Sprekeler Joerg Raisch FedML 32 0 0 07 Mar 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection Liangqi Yuan Dong-Jun Han Su Wang Devesh Upadhyay Christopher G. Brinton 41 10 0 30 Jan 2024
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks Jie Hu Vishwaraj Doshi Do Young Eun 50 2 0 18 Jan 2024
Graph GOSPA metric: a metric to measure the discrepancy between graphs of different sizes Jinhao Gu Á. F. García-Fernández Robert E. Firth Lennart Svensson 32 0 0 10 Nov 2023
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication Liangqi Yuan Dong-Jun Han Vishnu Pandi Chellapandi Stanislaw H. .Zak Christopher G. Brinton 38 11 0 10 Oct 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 75 0 21 Aug 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 40 85 0 02 Jun 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 35 24 0 14 Apr 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 30 33 0 19 Mar 2023
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 40 125 0 09 Jan 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples Xizixiang Wei Cong Shen FedML 36 15 0 06 Jan 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019