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Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning., , , , and . CoRR, (2020)Enhancing Video Streaming in Vehicular Networks via Resource Slicing., , and . CoRR, (2020)Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach., , , and . CoRR, (2019)Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach., , , and . IEEE Communications Letters, 24 (2): 367-370 (2020)Maze Discovery using Multiple Robots via Federated Learning., , , , and . CoRR, (2024)Cooperative perception in Vehicular Networks using Multi-Agent Reinforcement Learning., , , and . ACSSC, page 408-412. IEEE, (2020)Network slicing for vehicular communication., , , , and . Trans. Emerg. Telecommun. Technol., (2021)Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning., , and . CoRR, (2021)Codesign of Edge Intelligence and Automated Guided Vehicle Control., , , and . PerCom Workshops, page 285-287. IEEE, (2023)BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization., , , and . CoRR, (2020)