Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing

Zheyu Zhou; Qi Wang; Jizhou Li; Ziyuan Li

doi:10.1007/s10723-024-09774-2

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JOURNAL ARTICLE

Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing

Zheyu Zhou Qi Wang Jizhou Li Ziyuan Li

Year: 2024 Journal: Journal of Grid Computing Vol: 22 (3) Publisher: Springer Science+Business Media

DOI: 10.1007/s10723-024-09774-2

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Keywords:

Computer science Resource allocation Distributed computing Enhanced Data Rates for GSM Evolution Edge computing Edge device Artificial intelligence Computer network Operating system Cloud computing

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Stochastic Gradient Optimization Techniques

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Cryptography and Data Security

Physical Sciences → Computer Science → Artificial Intelligence

Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing

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