Achieving Linear Speedup with Partial Worker Participation in Non-IID
Federated Learning

Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning

27 January 2021

Haibo Yang

Papers citing "Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning"

15 / 65 papers shown

Title
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 40 10 0 03 Mar 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 45 8 0 24 Feb 2022
Learnings from Federated Learning in the Real world Christophe Dupuy Tanya Roosta Leo Long Clement Chung Rahul Gupta A. Avestimehr FedML 25 10 0 08 Feb 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 21 72 0 19 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning S. Zhang Jieyu Lin Qi Zhang 35 63 0 09 Jan 2022
Optimal Rate Adaption in Federated Learning with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu FedML 42 39 0 13 Dec 2021
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 39 61 0 02 Dec 2021
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback Ilyas Fatkhullin Igor Sokolov Eduard A. Gorbunov Zhize Li Peter Richtárik 46 46 0 07 Oct 2021
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 187 412 0 14 Jul 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang Xiangyi Chen Min-Fong Hong Zhiwei Steven Wu Jinfeng Yi FedML 30 91 0 25 Jun 2021
On Large-Cohort Training for Federated Learning Zachary B. Charles Zachary Garrett Zhouyuan Huo Sergei Shmulyian Virginia Smith FedML 21 113 0 15 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 32 95 0 08 Jun 2021
Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers Guojun Xiong Gang Yan Rahul Singh Jian Li 28 12 0 11 Feb 2021
Optimal Client Sampling for Federated Learning Wenlin Chen Samuel Horváth Peter Richtárik FedML 42 190 0 26 Oct 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018