Federated Reinforcement Learning for Resource Allocation in V2X Networks

Kaidi Xu; Shenglong Zhou; Geoffrey Ye Li

doi:10.1109/jstsp.2024.3513692

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Federated Reinforcement Learning for Resource Allocation in V2X Networks

Kaidi Xu Shenglong Zhou Geoffrey Ye Li

Year: 2024 Journal: IEEE Journal of Selected Topics in Signal Processing Vol: 18 (7)Pages: 1210-1221 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jstsp.2024.3513692

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Keywords:

Computer science Reinforcement learning Resource allocation Resource management (computing) Artificial intelligence Computer network Machine learning

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IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Software-Defined Networks and 5G

Physical Sciences → Computer Science → Computer Networks and Communications

Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Federated Reinforcement Learning for Resource Allocation in V2X Networks

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