FedVARP: Tackling the Variance Due to Partial Client Participation in
Federated Learning

FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning

28 July 2022

Divyansh Jhunjhunwala

Aushim Nagarkatti

Papers citing "FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning"

10 / 10 papers shown

Title
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 28 0 0 07 Apr 2025
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 64 1 0 21 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 22 0 0 27 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 48 5 0 17 Sep 2024
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 26 19 0 09 Aug 2023
On the Local Cache Update Rules in Streaming Federated Learning Heqiang Wang Jieming Bian Jie Xu 18 4 0 28 Mar 2023
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates Abdulmoneam Ali A. Arafa FedML 29 3 0 09 Feb 2023
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
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 21 0 27 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 173 411 0 14 Jul 2021