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Federated Learning With a Drone Orchestrator: Path Planning for Minimized Staleness.

, , , , and . IEEE Open J. Commun. Soc., (2021)

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Federated Reinforcement Learning UAV Trajectory Design for Fast Localization of Ground Users., , , and . EUSIPCO, page 663-666. IEEE, (2022)Neural Networks for Cellular Base Station Switching., , and . INFOCOM Workshops, page 738-743. IEEE, (2019)Dynamic Standalone Drone-Mounted Small Cells., and . EuCNC, page 342-347. IEEE, (2020)Federated Learning With a Drone Orchestrator: Path Planning for Minimized Staleness., , , , and . IEEE Open J. Commun. Soc., (2021)Sustainable Wireless Services With UAV Swarms Tailored to Renewable Energy Sources., , , , , , and . IEEE Trans. Smart Grid, 14 (4): 3296-3308 (July 2023)Standalone Deployment of a Dynamic Drone Cell for Wireless Connectivity of Two Services., , and . WCNC, page 1-7. IEEE, (2021)On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator., , and . CoRR, (2021)Sustainable Wireless Services with UAV Swarms Tailored to Renewable Energy Sources., , , , , , and . CoRR, (2022)Performance trade-offs in cyber-physical control applications with multi-connectivity., , , and . CoRR, (2021)Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach., , , , , and . CoRR, (2022)