Scaff-PD: Communication Efficient Fair and Robust Federated Learning

25 July 2023

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

6 / 6 papers shown

Title
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 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 Matteo Zecchin Marios Kountouris David Gesbert 18 9 0 31 May 2022
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 Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 943 0 03 Feb 2021
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