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Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach., , , and . IEEE Communications Letters, 24 (2): 367-370 (2020)Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach., , , and . CoRR, (2019)Enhancing Video Streaming in Vehicular Networks via Resource Slicing., , and . CoRR, (2020)Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning., , , , and . CoRR, (2020)Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks., , , , and . CoRR, (2019)BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization., , , and . CoRR, (2020)Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks., , , , and . IEEE Trans. Wirel. Commun., 16 (9): 6032-6046 (2017)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)IntellIoT: Intelligent IoT Environments., , , , , , , , , and 7 other author(s). GIOTS, volume 13533 of Lecture Notes in Computer Science, page 55-68. Springer, (2022)