Semi-Asynchronous Federated Learning with Trajectory Prediction for Vehicular Edge Computing

Federated learning, as a distributed machine learning paradigm, offers promising solutions for vehicular edge computing (VEC) networks. However, federated learning in VEC with classification tasks still faces two key challenges: i) Delayed data labeling hampers supervised training; ii) Dynamic vehic...

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Veröffentlicht in:	IEEE/ACM ... International Symposium on Quality of Service (Online) S. 1 - 10
Hauptverfasser:	Deng, Yuxuan, Li, Xiuhua, Sun, Chuan, Fan, Qilin, Wang, Xiaofei, Leung, Victor C. M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.06.2024
Schlagworte:	Data models Federated learning Heuristic algorithms Knowledge distillation Prediction algorithms Predictive models Training Trajectory Trajectory prediction Vehicular edge computing
ISSN:	2766-8568
Online-Zugang:	Volltext
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