The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

11 September 2019

Papers citing "The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication"

9 / 9 papers shown

Title
Clip21: Error Feedback for Gradient Clipping Sarit Khirirat Eduard A. Gorbunov Samuel Horváth Rustem Islamov Fakhri Karray Peter Richtárik 27 10 0 30 May 2023
On the Stability Analysis of Open Federated Learning Systems Youbang Sun H. Fernando Tianyi Chen Shahin Shahrampour FedML 29 1 0 25 Sep 2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data Xin Zhang Minghong Fang Zhuqing Liu Haibo Yang Jia-Wei Liu Zhengyuan Zhu FedML 13 14 0 17 Aug 2022
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 14 30 0 25 Dec 2021
Rethinking gradient sparsification as total error minimization Atal Narayan Sahu Aritra Dutta A. Abdelmoniem Trambak Banerjee Marco Canini Panos Kalnis 43 54 0 02 Aug 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 22 95 0 08 Jun 2021
MARINA: Faster Non-Convex Distributed Learning with Compression Eduard A. Gorbunov Konstantin Burlachenko Zhize Li Peter Richtárik 34 108 0 15 Feb 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,198 0 16 Aug 2016
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 171 683 0 07 Dec 2010