Eecs-fl: energy-efficient client selection for federated learning in AIoT

Abstract The Artificial Intelligence of Things (AIoT) ecosystem faces significant challenges related to limited client energy budgets and resource heterogeneity, particularly when employing the Federated Learning (FL) framework. This paper presents a novel energy-efficient client selection algorithm...

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Bibliographic Details
Main Authors: Yiyang Zhang, Yiming Luo, Tao Yang, Xiaofeng Wu, Bo Hu
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:https://doi.org/10.1186/s13638-025-02435-2
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