AsyncFedED: Asynchronous Federated Learning with Euclidean Distance
based Adaptive Weight Aggregation

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AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation

27 May 2022

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Papers citing "AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation"

18 / 18 papers shown

Title
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 158 258 0 09 Sep 2021
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 181 1,452 0 29 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 266 6,285 0 10 Dec 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 87 315 0 03 Oct 2019
First Analysis of Local GD on Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik FedML 74 172 0 10 Sep 2019
Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network Xiaoxia Wu S. Du Rachel A. Ward 80 66 0 19 Feb 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 158 1,422 0 03 Dec 2018
New Convergence Aspects of Stochastic Gradient Algorithms Lam M. Nguyen Phuong Ha Nguyen Peter Richtárik K. Scheinberg Martin Takáč Marten van Dijk 113 66 0 10 Nov 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
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen G. Giannakis Tao Sun W. Yin 55 298 0 25 May 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 254 1,716 0 14 Apr 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 63 197 0 03 Mar 2018
Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng Qi Meng Taifeng Wang Wei Chen Nenghai Yu Zhiming Ma Tie-Yan Liu 109 315 0 27 Sep 2016
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study Suyog Gupta Wei Zhang Fei Wang 65 172 0 14 Sep 2015
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training T. Paine Hailin Jin Jianchao Yang Zhe Lin Thomas Huang 110 98 0 21 Dec 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 122 1,562 0 22 Sep 2013
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 201 2,274 0 28 Jun 2011
Distributed Delayed Stochastic Optimization Alekh Agarwal John C. Duchi 131 627 0 28 Apr 2011

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