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Embracing Federated Learning: Enabling Weak Client Participation via
  Partial Model Training

Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training

21 June 2024
Sunwoo Lee
Tuo Zhang
Saurav Prakash
Yue Niu
Salman Avestimehr
    FedML
ArXivPDFHTML

Papers citing "Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training"

2 / 2 papers shown
Title
Efficient and Private Federated Learning with Partially Trainable
  Networks
Efficient and Private Federated Learning with Partially Trainable Networks
Hakim Sidahmed
Zheng Xu
Ankush Garg
Yuan Cao
Mingqing Chen
FedML
47
13
0
06 Oct 2021
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