High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks

Federated edge learning (FEEL) technology for vehicular networks is considered as a promising technology to reduce the computation workload while keeping the privacy of users. In the FEEL system, vehicles upload data to the edge servers, which train the vehicles' data to update local models and...

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Veröffentlicht in:	China communications 2023-03, Vol.20 (3), p.1-17
Hauptverfasser:	Wu, Qiong, Wang, Xiaobo, Fan, Qiang, Fan, Pingyi, Zhang, Cui, Li, Zhengquan
Format:	Artikel
Sprache:	eng
Schlagworte:	accuracy Computational modeling Data models edge servers Federated learning FEEL Load modeling Servers stability Training vehicular networks Wireless communication
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