Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles

In Internet of vehicles (IoV) scenario, there was a massive amount of non-independent and identically distributed data among devices, leading to data heterogeneity problems of federated learning (FL). This problem affected the performances of model training and might pose threats to traffic safety....

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Autori principali:	LIU Miao, LIN Wanru, WANG Qin, GUI Guan
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	Editorial Department of Journal on Communications 2024-10-01
Serie:	Tongxin xuebao
Soggetti:	Internet of vehicles federated learning personalized solution data heterogeneity
Accesso online:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024170/
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