Federated learning enabled link scheduling in D2D wireless networks

Federated learning enabled link scheduling in D2D wireless networks

Centralized machine learning methods for device-to-device (D2D) link scheduling may lead to a computing burden for a central server, transmission latency for decisions, and privacy issues for D2D communications. To mitigate these challenges, a federated learning (FL) based method is proposed to solv...

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Bibliographic Details
Main Authors: Tianrui Chen, Xinruo Zhang, Minglei You, Gan Zheng, Sangarapillai Lambotharan
Format: Default Article
Published: 2023
Subjects:
Engineering
Communications engineering
Electronics, sensors and digital hardware
Distributed computing and systems software
Federated learning
Device-to-device (D2D)
Link scheduling
Online Access:https://hdl.handle.net/2134/24259450.v1
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https://hdl.handle.net/2134/24259450.v1

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