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Scaff-PD: Communication Efficient Fair and Robust Federated Learning

Scaff-PD: Communication Efficient Fair and Robust Federated Learning

25 July 2023
Yaodong Yu
Sai Praneeth Karimireddy
Yi-An Ma
Michael I. Jordan
    FedML
ArXivPDFHTML

Papers citing "Scaff-PD: Communication Efficient Fair and Robust Federated Learning"

6 / 6 papers shown
Title
Federated Learning with Relative Fairness
Federated Learning with Relative Fairness
Shogo H. Nakakita
Tatsuya Kaneko
Shinya Takamaeda-Yamazaki
Masaaki Imaizumi
FedML
21
2
0
02 Nov 2024
Entropy-driven Fair and Effective Federated Learning
Entropy-driven Fair and Effective Federated Learning
Lung-Chuang Wang
Zhichao Wang
Sai Praneeth Karimireddy
Xiaoying Tang
Xiaoying Tang
FedML
25
9
0
29 Jan 2023
Communication-Efficient Distributionally Robust Decentralized Learning
Communication-Efficient Distributionally Robust Decentralized Learning
Matteo Zecchin
Marios Kountouris
David Gesbert
18
9
0
31 May 2022
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
173
410
0
14 Jul 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
85
943
0
03 Feb 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
109
123
0
24 Oct 2020
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