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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
Re-assign community
ArXiv (abs)
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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
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
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
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