Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks

Xu Zhao; Yichuan Wu; Tianhao Zhao; Feiyu Wang; Maozhen Li

doi:10.1016/j.jnca.2024.103941

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Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks

Xu Zhao Yichuan Wu Tianhao Zhao Feiyu Wang Maozhen Li

Year: 2024 Journal: Journal of Network and Computer Applications Vol: 229 Pages: 103941-103941 Publisher: Elsevier BV

DOI: 10.1016/j.jnca.2024.103941

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Keywords:

Computer science Reinforcement learning Markov decision process Mobile edge computing Distributed computing Scheduling (production processes) Edge computing Energy consumption Task (project management) Mobile device Computation offloading Edge device Enhanced Data Rates for GSM Evolution Server Computer network Markov process Artificial intelligence Cloud computing Mathematical optimization

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks

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