Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees

20 November 2019

Papers citing "Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees"

6 / 6 papers shown

Title
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 44 4 0 02 Sep 2024
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 54 59 0 02 Aug 2022
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan FedML 35 36 0 10 May 2021
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection Zhenheng Tang S. Shi X. Chu FedML 21 57 0 22 Feb 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 29 175 0 14 Jan 2020
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 177 683 0 07 Dec 2010