AoU-based local update and user scheduling for semi-asynchronous online federated learning in wireless networks

With the advent of the 5G and 6G eras and the explosive growth of mobile users, machine learning (ML) is increasingly used for extracting important information from a large amount of generated data and making intelligent decisions for complex environments. Especially, distributed ML techniques are g...

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Bibliographic Details
Main Authors: Jianing Zheng, Xiaolan Liu, Zhuang Ling, Fengye Hu
Format: Default Article
Published: 2024
Subjects:
Engineering
Communications engineering
Information and computing sciences
Distributed computing and systems software
Federated Learning (FL)
Asynchronous federated learning (AsynFL)
Age of Update (AoU)
Priority-based User Scheduling
Clustering
Online Access:https://hdl.handle.net/2134/26090062.v1
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https://hdl.handle.net/2134/26090062.v1

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