v1v2v3 (latest)

Communication-Efficient Distributionally Robust Decentralized Learning

31 May 2022

Papers citing "Communication-Efficient Distributionally Robust Decentralized Learning"

33 / 33 papers shown

Title
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs Chaouki Ben Issaid Anis Elgabli M. Bennis FedML OOD 78 5 0 29 Aug 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 104 49 0 09 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,149 0 01 Mar 2022
Asynchronous Decentralized Learning over Unreliable Wireless Networks Eunjeong Jeong Matteo Zecchin Marios Kountouris 62 17 0 02 Feb 2022
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity Nicolas Loizou Hugo Berard Gauthier Gidel Ioannis Mitliagkas Simon Lacoste-Julien 80 54 0 30 Jun 2021
Distributionally Robust Federated Averaging Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 53 142 0 25 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 105 95 0 29 Jan 2021
Decentralized SGD with Over-the-Air Computation Emre Ozfatura Stefano Rini Deniz Gunduz 63 38 0 06 Mar 2020
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games Tianyi Lin Zhengyuan Zhou P. Mertikopoulos Michael I. Jordan 57 49 0 23 Feb 2020
A Decentralized Proximal Point-type Method for Saddle Point Problems Weijie Liu Aryan Mokhtari Asuman Ozdaglar S. Pattathil Zebang Shen Nenggan Zheng 112 30 0 31 Oct 2019
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets Mingrui Liu Wei Zhang Youssef Mroueh Xiaodong Cui Jerret Ross Tianbao Yang Payel Das 48 74 0 28 Oct 2019
Decentralized Deep Learning with Arbitrary Communication Compression Anastasia Koloskova Tao R. Lin Sebastian U. Stich Martin Jaggi FedML 48 235 0 22 Jul 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers Alex X. Lu Amy X. Lu W. Schormann Marzyeh Ghassemi D. Andrews Alan M. Moses OOD 38 20 0 17 Jun 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin Chi Jin Michael I. Jordan 126 508 0 02 Jun 2019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Anastasia Koloskova Sebastian U. Stich Martin Jaggi FedML 83 511 0 01 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 136 937 0 01 Feb 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 66 423 0 20 Oct 2018
The Convergence of Sparsified Gradient Methods Dan Alistarh Torsten Hoefler M. Johansson Sarit Khirirat Nikola Konstantinov Cédric Renggli 169 494 0 27 Sep 2018
Sparsified SGD with Memory Sebastian U. Stich Jean-Baptiste Cordonnier Martin Jaggi 82 754 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 79 608 0 17 Jul 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 186 1,069 0 24 May 2018
signSGD: Compressed Optimisation for Non-Convex Problems Jeremy Bernstein Yu Wang Kamyar Azizzadenesheli Anima Anandkumar FedML ODL 101 1,050 0 13 Feb 2018
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 125 864 0 29 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 315 12,131 0 19 Jun 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian Ce Zhang Huan Zhang Cho-Jui Hsieh Wei Zhang Ji Liu 50 1,233 0 25 May 2017
Sparse Communication for Distributed Gradient Descent Alham Fikri Aji Kenneth Heafield 76 741 0 17 Apr 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 101 860 0 08 Mar 2017
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović MQ 80 423 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 406 17,559 0 17 Feb 2016
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations Peyman Mohajerin Esfahani Daniel Kuhn 100 1,665 0 19 May 2015
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks Jianshu Chen Ali H. Sayed 99 656 0 31 Oct 2011
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties Feng Yan S. Sundaram S. V. N. Vishwanathan Y. Qi 91 270 0 21 Jun 2010