most citedDeep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing

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cs.LG2023★ 1 cited

Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing

Qiong Wu, Siyuan Wang, Pingyi Fan +1

In the traditional vehicular network, computing tasks generated by the vehicles are usually uploaded to the cloud for processing. However, since task offloading toward the cloud wi…

cs.LG2022★ 1 cited

Asynchronous Federated Learning for Edge-assisted Vehicular Networks

Siyuan Wang, Qiong Wu, Qiang Fan +2

Vehicular networks enable vehicles support real-time vehicular applications through training data. Due to the limited computing capability, vehicles usually transmit data to a road…