Device scheduling and bandwidth allocation for federated learning over wireless networks

Device scheduling and bandwidth allocation for federated learning over wireless networks

Federated Learning (FL) has been widely used to train shared machine learning models while addressing the privacy concerns. When deployed in wireless networks, bandwidth resources limitation is a key issue, thereby necessitating device scheduling and bandwidth allocation. It is challenging to carry...

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Bibliographic Details
Main Authors: Zhang, Tinghao, Lam, Kwok-Yan, Zhao, Jun
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Training
Energy consumption
Online Access:https://hdl.handle.net/10356/176958

Internet

https://hdl.handle.net/10356/176958

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