ICMFed: An Incremental and Cost-Efficient Mechanism of Federated Meta-Learning for Driver Distraction Detection

Driver distraction detection (3D) is essential in improving the efficiency and safety of transportation systems. Considering the requirements for user privacy and the phenomenon of data growth in real-world scenarios, existing methods are insufficient to address four emerging challenges, i.e., data...

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Principais autores:	Zihan Guo, Linlin You, Sheng Liu, Junshu He, Bingran Zuo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-04-01
Colecção:	Mathematics
Assuntos:	federated learning meta-learning incremental federated meta-learning driver distraction detection ICMFed
Acesso em linha:	https://www.mdpi.com/2227-7390/11/8/1867
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