FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to
System Heterogeneity

v1v2 (latest)

FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity

7 April 2022

ArXiv (abs)PDF HTML

Papers citing "FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity"

19 / 19 papers shown

Title
Controlling Participation in Federated Learning with Feedback Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 134 0 0 28 Nov 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 78 0 0 27 Sep 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 93 2 0 17 May 2024
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang Mingyi Hong S. Dhople W. Yin Yang Liu FedML 65 233 0 22 May 2020
Federated Learning with Bayesian Differential Privacy Aleksei Triastcyn Boi Faltings FedML 73 178 0 22 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 127 1,624 0 01 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 81 274 0 31 Oct 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik 74 435 0 10 Sep 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 149 2,348 0 04 Jul 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 124 2,674 0 04 Feb 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,220 0 14 Dec 2018
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Xiaofei Wang Yiwen Han Chenyang Wang Qiyang Zhao Xu Chen Min Chen 46 804 0 19 Sep 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 186 1,069 0 24 May 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
CoCoA: A General Framework for Communication-Efficient Distributed Optimization Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi 79 273 0 07 Nov 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 143 1,906 0 08 Oct 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach Gavin Taylor R. Burmeister Zheng Xu Bharat Singh Ankit B. Patel Tom Goldstein ODL 69 276 0 06 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis Tsung-Hui Chang Mingyi Hong Wei-Cheng Liao Xiangfeng Wang 43 200 0 09 Sep 2015