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Energy-Efficient UAV-Assisted Federated Learning in Wireless Networks.

, , , and . WCSP, page 92-97. IEEE, (2023)

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Energy Efficiency Consideration for Indoor Femtocell Networks in TV White Spaces., , , , and . IEEE Access, (2018)Experimental Target Tracking Using Asynchronous Sensors., , , , and . Wirel. Commun. Mob. Comput., (2018)Resource Allocation for Energy Harvesting-Powered D2D Communications Underlaying NOMA-Based Networks., , , , and . IEEE Access, (2019)Learning-Based Data Gathering for Information Freshness in UAV-Assisted IoT Networks., , , , , and . IEEE Internet Things J., 10 (3): 2557-2573 (February 2023)Energy-Efficient UAV-Assisted Federated Learning in Wireless Networks., , , and . WCSP, page 92-97. IEEE, (2023)Age-Optimal Data Gathering and Energy Recharging of UAV in Wireless Sensor Networks., , , and . AISS, page 78:1-78:6. ACM, (2021)Capacity consideration for indoor femtocell networks in TV white spaces., , and . WTS, page 1-5. IEEE, (2017)Joint Optimization of Multi-UAV-Assisted Data Collection and Energy Replenishment via Transfer Learning aided Deep Reinforcement Learning., , , and . ICCT, page 967-972. IEEE, (2023)A Deep Reinforcement Learning Approach for Multi-UAV-Assisted Data Collection in Wireless Powered IoT networks., , , , and . WCSP, page 44-49. IEEE, (2022)A Deep Reinforcement Learning Approach to Energy-harvesting UAV-aided Data Collection., , , and . WCSP, page 93-98. IEEE, (2020)