2023
DOI: 10.1109/access.2022.3227561
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Semi-Asynchronous Hierarchical Federated Learning Over Mobile Edge Networks

Abstract: Mobile edge network has been recognized as a promising technology for future wireless communications. However, mobile edge networks usually gathering large amounts of data, which makes it difficult to explore data science efficiently. Currently, federated learning has been proposed as an appealing approach to allow users to cooperatively reap the benefits from trained participants. In this paper, we propose a novel Semi-Asynchronous Hierarchical Federated Learning (SAHFL) framework for mobile edge networks tha… Show more

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Cited by 5 publications
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References 28 publications
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