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Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning.

, , , , and . IEEE Trans. Veh. Technol., 69 (12): 15731-15745 (2020)

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Device Association for RAN Slicing Based on Hybrid Federated Deep Reinforcement Learning., , , , and . IEEE Trans. Veh. Technol., 69 (12): 15731-15745 (2020)Intelligent Beam Configuration for Neighbor Discovery in Ad Hoc Networks with Directional Antennas., , , , , and . ICC, page 1843-1849. IEEE, (2023)Resource Consumption for Supporting Federated Learning Enabled Network Edge Intelligence., , , , , and . ICC Workshops, page 1-6. IEEE, (2022)Transformer-Based Domain Adaptation for Multi-Modal Emotion Recognition in Response to Game Animation Videos., , , and . BIBM, page 879-884. IEEE, (2023)Slicing4Meta: An Intelligent Integration Framework with Multi-dimensional Network Resources for Metaverse-as-a-Service in Web 3.0., , , , , and . CoRR, (2022)Combinatorial proofs of some properties of tangent and Genocchi numbers., and . Eur. J. Comb., (2018)Access Control for RAN Slicing based on Federated Deep Reinforcement Learning., , , , and . ICC, page 1-6. IEEE, (2021)Adaptive Quantization based on Ensemble Distillation to Support FL enabled Edge Intelligence., , , , , and . GLOBECOM, page 2194-2199. IEEE, (2022)Design and implementation of channel equalizers for block transmission systems., , and . ISCAS (4), page 354-357. IEEE, (2001)