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FedAR: Addressing Client Unavailability in Federated Learning with Local
  Update Approximation and Rectification

FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification

26 July 2024
Chutian Jiang
Hansong Zhou
Xiaonan Zhang
Shayok Chakraborty
    FedML
ArXivPDFHTML

Papers citing "FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification"

1 / 1 papers shown
Title
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
181
267
0
26 Feb 2021
1