Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD

24 October 2020

Papers citing "Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD"

6 / 6 papers shown

Title
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 26 0 0 09 Nov 2024
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates Abdulmoneam Ali A. Arafa FedML 29 3 0 09 Feb 2023
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks Zhengjie Yang Sen Fu Wei Bao Dong Yuan Albert Y. Zomaya FedML 19 5 0 26 Oct 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 21 23 0 30 May 2022
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng H. Yang Deshun Hu Zhiwei Zhao Tony Q. S. Quek Geyong Min 23 74 0 20 Aug 2021
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018