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MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations.

, , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (1): 811-827 (2023)

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Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing., , , , , and . SEC, page 355-360. IEEE, (2021)Diverse Client Selection for Federated Learning via Submodular Maximization., , , , , and . ICLR, OpenReview.net, (2022)MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations., , , , , , , , and . CoRR, (2021)MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations., , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (1): 811-827 (2023)Leveraging Compute Heterogeneity in Federated Multi-Task Classification., , , , , and . ICUMT, page 68-72. IEEE, (2023)Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World., , , , , and . CCNC, page 919-920. IEEE, (2023)Deep Reinforcement Learning Based Traffic- and Channel-Aware OFDMA Resource Allocation., , , , and . GLOBECOM, page 1-6. IEEE, (2019)Resource Management and Fairness for Federated Learning over Wireless Edge Networks., , , and . SPAWC, page 1-5. IEEE, (2020)Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling., , , and . ACSSC, page 1200-1203. IEEE, (2020)