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Energy-Efficient Radio Resource Allocation for Federated Edge Learning.

, , , and . ICC Workshops, page 1-6. IEEE, (2020)

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Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission., , , , and . IEEE Trans. Wirel. Commun., 20 (1): 406-420 (2021)Energy-Efficient Radio Resource Allocation for Federated Edge Learning., , , and . CoRR, (2019)Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing., , , and . IEEE Trans. Wirel. Commun., 20 (12): 7947-7962 (2021)Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting., , and . CoRR, (2023)Progressive Feature Transmission for Split Inference at the Wireless Edge., , , , and . CoRR, (2021)Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer., , and . IEEE Trans. Wirel. Commun., 21 (1): 680-695 (2022)InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization., , , , and . CoRR, (2024)Progressive Transmission of High-Dimensional Data Features for Inference at the Network Edge., , , , and . SPAWC, page 1-5. IEEE, (2022)Towards Atomic MIMO Receivers., , and . CoRR, (2024)Realizing In-Memory Baseband Processing for Ultrafast and Energy-Efficient 6G., , , , , , , , , and . IEEE Internet Things J., 11 (3): 5169-5183 (February 2024)