Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection

22 February 2020

Papers citing "Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection"

20 / 20 papers shown

Title
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing Ming-Lun Lee Han-Chang Chou Yan-AnnChen FedML 34 6 0 07 Apr 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 49 6 0 27 Oct 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation Sayan Biswas Anne-Marie Kermarrec Alexis Marouani Rafael Pires Rishi Sharma M. Vos 23 1 0 16 Oct 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning Zichen Tang Junlin Huang Rudan Yan Yuxin Wang Zhenheng Tang S. Shi Amelie Chi Zhou Xiaowen Chu FedML 50 2 0 27 Aug 2024
Secure Aggregation Meets Sparsification in Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rafael Pires Rishi Sharma Milos Vujasinovic 36 0 0 13 May 2024
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning Amine Barrak Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 14 3 0 25 Sep 2023
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs Zhenheng Tang Yuxin Wang Xin He Longteng Zhang Xinglin Pan ... Rongfei Zeng Kaiyong Zhao S. Shi Bingsheng He Xiaowen Chu 38 30 0 03 Sep 2023
Get More for Less in Decentralized Learning Systems Akash Dhasade Anne-Marie Kermarrec Rafael Pires Rishi Sharma Milos Vujasinovic Jeffrey Wigger 26 7 0 07 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 40 85 0 02 Jun 2023
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison Xiangfeng Wang Hongteng Xu Moyi Yang OT 24 2 0 28 Jan 2023
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 20 15 0 26 Apr 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching Zexi Li Jiaxun Lu Shuang Luo Didi Zhu Yunfeng Shao Yinchuan Li Zhimeng Zhang Yongheng Wang Chao-Xiang Wu FedML 32 36 0 23 Mar 2022
DeceFL: A Principled Decentralized Federated Learning Framework Ye Yuan Jun Liu Dou Jin Zuogong Yue Ruijuan Chen ... Xinlei Yi Tao Yang Hai-Tao Zhang Shaochun Sui Han Ding FedML 10 9 0 15 Jul 2021
Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities Yuben Qu Haipeng Dai Yan Zhuang Jiafa Chen Chao Dong Fan Wu Song Guo 8 71 0 15 Apr 2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent Zhao Wang Yifan Hu Jun Xiao Chao-Xiang Wu AI4CE 19 11 0 15 Apr 2021
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks Pan Zhou Qian Lin Dumitrel Loghin Beng Chin Ooi Yuncheng Wu Hongfang Yu 13 35 0 12 Sep 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging Shigang Li Tal Ben-Nun Giorgi Nadiradze Salvatore Di Girolamo Nikoli Dryden Dan Alistarh Torsten Hoefler 21 14 0 30 Apr 2020
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey Zhenheng Tang S. Shi Wei Wang Bo-wen Li Xiaowen Chu 21 48 0 10 Mar 2020
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 177 683 0 07 Dec 2010