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Reducing Impacts of System Heterogeneity in Federated Learning using
  Weight Update Magnitudes

Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes

30 August 2022
Irene Wang
ArXivPDFHTML

Papers citing "Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes"

2 / 2 papers shown
Title
Federated Learning Challenges and Opportunities: An Outlook
Federated Learning Challenges and Opportunities: An Outlook
Jie Ding
Eric W. Tramel
Anit Kumar Sahu
Shuang Wu
Salman Avestimehr
Tao Zhang
FedML
33
55
0
01 Feb 2022
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
176
267
0
26 Feb 2021
1