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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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Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing., , , and . IEEE Trans. Wirel. Commun., 20 (12): 7947-7962 (2021)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 . ICC Workshops, page 1-6. IEEE, (2020)Realizing In-Memory Baseband Processing for Ultrafast and Energy-Efficient 6G., , , , , , , , , and . IEEE Internet Things J., 11 (3): 5169-5183 (February 2024)Wirelessly Powered Federated Edge Learning., , and . SPAWC, page 286-290. IEEE, (2021)Towards Atomic MIMO Receivers., , and . CoRR, (2024)InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization., , , , and . ICML, OpenReview.net, (2024)Progressive Transmission of High-Dimensional Data Features for Inference at the Network Edge., , , , and . SPAWC, page 1-5. IEEE, (2022)Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting., , and . IEEE Trans. Wirel. Commun., 23 (8): 10459-10472 (August 2024)Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction., , and . DSAA, page 1-10. IEEE, (2023)