Semi-Decentralized Federated Edge Learning for Fast Convergence on
Non-IID Data

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data

26 April 2021

Jiawei Shao

Jessie Hui Wang

Papers citing "Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data"

4 / 4 papers shown

Title
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 37 44 0 16 Jan 2023
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients Yuchang Sun Jiawei Shao Yuyi Mao Jun Zhang FedML 24 9 0 09 Dec 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 1,687 0 14 Apr 2018