Efficient Decentralized Deep Learning by Dynamic Model Averaging

9 July 2018

Papers citing "Efficient Decentralized Deep Learning by Dynamic Model Averaging"

20 / 20 papers shown

Title
Version age-based client scheduling policy for federated learning Xinyi Hu Nikolaos Pappas Howard H. Yang 28 3 0 08 Feb 2024
Layer-wise Linear Mode Connectivity Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi FedML FAtt MoMe 33 15 0 13 Jul 2023
Semi-Decentralized Federated Learning with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 36 32 0 23 May 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 40 8 0 24 Feb 2022
Large-Scale Deep Learning Optimizations: A Comprehensive Survey Xiaoxin He Fuzhao Xue Xiaozhe Ren Yang You 24 14 0 01 Nov 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 24 26 0 07 Oct 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 29 74 0 23 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 35 401 0 05 Apr 2021
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q. S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 45 218 0 05 Jul 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo Mingrui Liu Zhuoning Yuan Li Shen Wei Liu Tianbao Yang 30 42 0 05 May 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning Dingzhu Wen M. Bennis Kaibin Huang 24 48 0 10 Mar 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 31 308 0 16 Jan 2020
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 19 266 0 31 Oct 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 17 637 0 30 Dec 2018
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 21 1,390 0 03 Dec 2018
Federated Learning for Keyword Spotting David Leroy A. Coucke Thibaut Lavril Thibault Gisselbrecht Joseph Dureau FedML 11 282 0 09 Oct 2018
Stochastic Nonconvex Optimization with Large Minibatches Weiran Wang Nathan Srebro 36 26 0 25 Sep 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 171 683 0 07 Dec 2010