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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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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Zihan Guo, Linlin You, Sheng Liu, Junshu He, Bingran Zuo
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2023-04-01
Rangatū:Mathematics
Ngā marau:
Urunga tuihono:https://www.mdpi.com/2227-7390/11/8/1867
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