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Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks.

, , , , and . IEEE Trans. Mob. Comput., 22 (1): 541-555 (2023)

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Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach., , , , , , and . IEEE Access, (2019)Latency-sensitive Service Delivery with UAV-Assisted 5G Networks., , , , , and . CoRR, (2020)Aerial STAR-RIS Empowered MEC: A DRL Approach for Energy Minimization., , , , and . CoRR, (2023)Energy-Efficiency Maximization of Multiple RISs-Enabled Communication Networks by Deep Reinforcement Learning., , , and . ICC, page 2181-2186. IEEE, (2022)An Efficient Resource Sharing Model for Multi-UAV-Assisted Wireless Networks., , , , and . APNOMS, page 390-393. IEEE, (2021)Latency-Sensitive Service Delivery With UAV-Assisted 5G Networks., , , , , and . IEEE Wirel. Commun. Lett., 10 (7): 1518-1522 (2021)A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars., , , , , and . CoRR, (2021)A Crowdsourcing Framework for On-Device Federated Learning., , , , , and . CoRR, (2019)Satellite-based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach., , , , , and . CoRR, (2022)Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing., , , , , and . IEEE Commun. Lett., 25 (1): 249-253 (2021)