Resource Allocation in V2V Communication via Federated Multi-Agent Reinforcement Learning

Shilong Zhang; Cheng Yang; Tao Yu; Tong Liu; Jinhua Chen; Keping Yu; Mohsen Guizani

doi:10.1109/ccnc54725.2025.10975832

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JOURNAL ARTICLE

Resource Allocation in V2V Communication via Federated Multi-Agent Reinforcement Learning

Shilong Zhang Cheng Yang Tao Yu Tong Liu Jinhua Chen Keping Yu Mohsen Guizani

Year: 2025 Pages: 1-6

DOI: 10.1109/ccnc54725.2025.10975832

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Keywords:

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

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Software-Defined Networks and 5G

Physical Sciences → Computer Science → Computer Networks and Communications

Electric Vehicles and Infrastructure

Physical Sciences → Engineering → Electrical and Electronic Engineering

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Resource Allocation in V2V Communication via Federated Multi-Agent Reinforcement Learning

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