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
Published in:	IEEE internet of things journal Vol. 11; no. 18; pp. 29673 - 29688
Main Authors:	Zheng, Jianing, Liu, Xiaolan, Ling, Zhuang, Hu, Fengye
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 15.09.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Age of Update (AoU) Aggregates Algorithms asynchronous federated learning (AsynFL) Clustering Computational modeling Convergence Data models Datasets Federated learning federated learning (FL) Heterogeneity Machine learning Priority scheduling priority-based user scheduling Training User satisfaction Wireless networks
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
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