Decentralized Local Updates with Dual-Slow Estimation and Momentum-based
Variance-Reduction for Non-Convex Optimization

Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization

17 July 2023

Xiang Li

Papers citing "Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization"

4 / 4 papers shown

Title
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning Kangyang Luo Shuai Wang Y. Fu Renrong Shao Xiang Li Yunshi Lan Ming Gao Jinlong Shu FedML 41 2 0 12 Sep 2024
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator Kangyang Luo Shuai Wang Xiang Li Yunshi Lan Ming Gao Jinlong Shu FedML 30 1 0 11 Sep 2024
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training Kun Yuan Yiming Chen Xinmeng Huang Yingya Zhang Pan Pan Yinghui Xu W. Yin MoE 55 61 0 24 Apr 2021
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010