Optimal Rate Adaption in Federated Learning with Compressed
Communications

Optimal Rate Adaption in Federated Learning with Compressed Communications

13 December 2021

Papers citing "Optimal Rate Adaption in Federated Learning with Compressed Communications"

19 / 19 papers shown

Title
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan FedML 50 36 0 10 May 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 62 258 0 27 Jan 2021
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 71 277 0 02 Jul 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 121 1,122 0 15 Feb 2020
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Canh T. Dinh N. H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli FedML 104 334 0 29 Oct 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 138 2,333 0 04 Jul 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 64 1,355 0 07 Mar 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 70 2,311 0 13 Feb 2019
Sparsified SGD with Memory Sebastian U. Stich Jean-Baptiste Cordonnier Martin Jaggi 71 749 0 20 Sep 2018
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 73 605 0 17 Jul 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 120 1,403 0 23 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 242 1,706 0 14 Apr 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 125 1,407 0 05 Dec 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 140 987 0 22 May 2017
Distributed Mean Estimation with Limited Communication A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 97 364 0 02 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 293 4,642 0 18 Oct 2016
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović MQ 64 423 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 392 17,453 0 17 Feb 2016
Gradient Descent Converges to Minimizers Jason D. Lee Max Simchowitz Michael I. Jordan Benjamin Recht 61 211 0 16 Feb 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.