Federated Learning: Strategies for Improving Communication Efficiency

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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Peter Richtárik

Dave Bacon

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Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

18 / 1,868 papers shown

Title
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 194 1,540 0 05 Mar 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD Sanghamitra Dutta Gauri Joshi Soumyadip Ghosh Parijat Dube P. Nagpurkar 82 198 0 03 Mar 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 83 398 0 22 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning Hyeontaek Lim D. Andersen M. Kaminsky 139 70 0 21 Feb 2018
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 59 0 0 30 Jan 2018
Differentially Private Distributed Learning for Language Modeling Tasks Vadim Popov Mikhail Kudinov Irina Piontkovskaya Petr Vytovtov A. Nevidomsky FedML 54 3 0 20 Dec 2017
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 284 1,415 0 05 Dec 2017
Learning Discrete Distributions from Untrusted Batches Mingda Qiao Gregory Valiant FedML 95 34 0 22 Nov 2017
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges Muhammad Usama Junaid Qadir Aunn Raza Hunain Arif K. Yau Y. Elkhatib Amir Hussain Ala I. Al-Fuqaha SSL 104 330 0 19 Sep 2017
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization Shusen Wang Farbod Roosta-Khorasani Peng Xu Michael W. Mahoney 133 130 0 11 Sep 2017
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 83 38 0 04 Jul 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 177 1,825 0 30 May 2017
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics Seyed Ali Osia Ali Shahin Shamsabadi Sina Sajadmanesh A. Taheri Kleomenis Katevas Hamid R. Rabiee Nicholas D. Lane Hamed Haddadi 85 236 0 08 Mar 2017
Distributed deep learning on edge-devices: feasibility via adaptive compression Corentin Hardy Erwan Le Merrer B. Sericola 72 64 0 15 Feb 2017
Randomized Distributed Mean Estimation: Accuracy vs Communication Jakub Konecný Peter Richtárik FedML 143 102 0 22 Nov 2016
Distributed Mean Estimation with Limited Communication A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 160 368 0 02 Nov 2016
Towards Geo-Distributed Machine Learning Ignacio Cano Markus Weimer D. Mahajan Carlo Curino Giovanni Matteo Fumarola 71 56 0 30 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 525 17,797 0 17 Feb 2016