Asynchronous Semi-Decentralized Federated Edge Learning for
Heterogeneous Clients

Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients

9 December 2021

Jiawei Shao

Papers citing "Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients"

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
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang FedML 15 31 0 20 Dec 2021
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang FedML 37 39 0 26 Apr 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