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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)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)Maze Discovery using Multiple Robots via Federated Learning., , , , and . CoRR, (2024)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)Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks., , , , and . CoRR, (2019)Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks., , , , and . IEEE Trans. Wirel. Commun., 16 (9): 6032-6046 (2017)Opportunistic sleep mode strategies in wireless small cell networks., , , and . ICC, page 2707-2712. IEEE, (2014)