Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks

16 August 2021

Papers citing "Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks"

7 / 7 papers shown

Title
Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning Moqbel Hamood A. Albaseer M. Abdallah Ala I. Al-Fuqaha 79 0 0 22 Dec 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Q. Fan FedML 33 0 0 10 Oct 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 29 10 0 05 Mar 2024
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks A. Farajzadeh Animesh Yadav H. Yanikomeroglu 33 0 0 10 Jan 2024
A Joint Gradient and Loss Based Clustered Federated Learning Design Licheng Lin Mingzhe Chen Zhaohui Yang Yusen Wu Yuchen Liu FedML 36 0 0 22 Nov 2023
A Systematic Literature Review on Client Selection in Federated Learning Carl Smestad Jingyue Li 20 19 0 08 Jun 2023
EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge Pinyarash Pinyoanuntapong Prabhu Janakaraj Ravikumar Balakrishnan Minwoo Lee Cheng Chen Pu Wang 24 13 0 14 Oct 2021