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FedImpro: Measuring and Improving Client Update in Federated Learning
v1v2 (latest)

FedImpro: Measuring and Improving Client Update in Federated Learning

10 February 2024
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedImpro: Measuring and Improving Client Update in Federated Learning"

2 / 52 papers shown
Title
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
412
17,615
0
17 Feb 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
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