FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes

1 November 2021

Papers citing "FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes"

4 / 4 papers shown

Title
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 157 408 0 03 Oct 2020
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 128 2,676 0 04 Feb 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 260 1,719 0 14 Apr 2018
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 314 4,659 0 18 Oct 2016