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

Qiong Wu; Siyuan Wang; Pingyi Fan; Qiang Fan

doi:10.1007/978-981-99-3581-9_1

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

Qiong Wu Siyuan Wang Pingyi Fan Qiang Fan

Year: 2023 Communications in computer and information science Pages: 3-26 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-3581-9_1

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Keywords:

Upload Computer science Asynchronous communication Edge computing Reinforcement learning Cloud computing Enhanced Data Rates for GSM Evolution Edge device Vehicular ad hoc network Process (computing) Distributed computing Computer network Artificial intelligence Wireless ad hoc network Wireless Telecommunications Operating system

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5.86

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0.96

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Topics

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

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

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Citation History

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