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

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

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Joint base station assignment and power control in hybrid energy supply wireless networks., , and . WCNC, page 1177-1182. IEEE, (2015)Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity., , , , and . IEEE Trans. Netw. Serv. Manag., 20 (2): 1487-1501 (June 2023)Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access: A Free Probability Theory Approach., , and . CoRR, (2024)How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels., , , and . CoRR, (2023)Grant-free Massive Random Access with Retransmission: Receiver Optimization and Performance Analysis., , and . CoRR, (2023)Resource-Constrained Edge AI with Early Exit Prediction., , and . J. Commun. Inf. Networks, 7 (2): 122-134 (June 2022)Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices., , and . IEEE J. Sel. Areas Commun., 34 (12): 3590-3605 (2016)Energy-Efficient UAV-Assisted Federated Learning in Wireless Networks., , , and . WCSP, page 92-97. IEEE, (2023)Communication-Computation Efficient Device-Edge Co-Inference via AutoML., , , and . GLOBECOM, page 1-6. IEEE, (2021)Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents., , , , , , and . CoRR, (2024)