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Efficient Federated Meta-Learning Over Multi-Access Wireless Networks.

, , , , , and . IEEE J. Sel. Areas Commun., 40 (5): 1556-1570 (2022)

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Efficient Federated Meta-Learning Over Multi-Access Wireless Networks., , , , , and . IEEE J. Sel. Areas Commun., 40 (5): 1556-1570 (2022)Top in Chinese Data Processing: English Code Models., , , , , , , and . CoRR, (2024)PoPeC: PAoI-Centric Task Offloading with Priority over Unreliable Channels., , , and . CoRR, (2023)Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning., , , , and . CoRR, (2020)Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning., , , , and . MobiHoc, page 91-100. ACM, (2021)Joint Channel Assignment and Stochastic Energy Management for RF-Powered OFDMA WSNs., , , , and . IEEE Trans. Veh. Technol., 68 (2): 1578-1592 (2019)TODG: Distributed Task Offloading with Delay Guarantees for Edge Computing., , , , , and . CoRR, (2021)CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning., , , , , , and . ICLR, OpenReview.net, (2023)FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data., , , , , and . SenSys, page 56-69. ACM, (2023)Efficient Federated Meta-Learning over Multi-Access Wireless Networks., , , , , and . CoRR, (2021)