Federated deep reinforcement learning-based online task offloading and resource allocation in harsh mobile edge computing environment

Hui Xiang; Meiyu Zhang; Chengfeng Jian

doi:10.1007/s10586-023-04143-2

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Federated deep reinforcement learning-based online task offloading and resource allocation in harsh mobile edge computing environment

Hui Xiang Meiyu Zhang Chengfeng Jian

Year: 2023 Journal: Cluster Computing Vol: 27 (3)Pages: 3323-3339 Publisher: Springer Science+Business Media

DOI: 10.1007/s10586-023-04143-2

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Keywords:

Computer science Reinforcement learning Mobile edge computing Overhead (engineering) Edge computing Mobile device Distributed computing Task (project management) Algorithm Enhanced Data Rates for GSM Evolution Artificial intelligence Operating system

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IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Federated deep reinforcement learning-based online task offloading and resource allocation in harsh mobile edge computing environment

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