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2303.05206
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FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning
9 March 2023
Yi-Rui Yang
Kun Wang
Wulu Li
FedML
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Papers citing
"FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning"
4 / 4 papers shown
Title
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
Hu Ding
Yan Yan
Yang Lu
Jing-Hao Xue
Hanzi Wang
28
0
0
03 Jan 2025
Secure Byzantine-Robust Distributed Learning via Clustering
R. K. Velicheti
Derek Xia
Oluwasanmi Koyejo
FedML
OOD
57
19
0
06 Oct 2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Chia-Yu Chen
Jiamin Ni
Songtao Lu
Xiaodong Cui
Pin-Yu Chen
...
Naigang Wang
Swagath Venkataramani
Vijayalakshmi Srinivasan
Wei Zhang
K. Gopalakrishnan
27
66
0
21 Apr 2021
Linearly Converging Error Compensated SGD
Eduard A. Gorbunov
D. Kovalev
Dmitry Makarenko
Peter Richtárik
163
77
0
23 Oct 2020
1