Joint 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, Feng, Jie
Other Authors: College of Computing and Data Science
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/176955
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Institution: Nanyang Technological University
Language: English

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