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Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks.

, , , , , and . CoRR, (2018)

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A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation., , , and . IEEE Trans. Mob. Comput., 20 (1): 19-31 (2021)Federated Learning Meets Contract Theory: Economic-Efficiency Framework for Electric Vehicle Networks., , , , , and . IEEE Trans. Mob. Comput., 21 (8): 2803-2817 (2022)Selective Federated Learning for On-Road Services in Internet-of-Vehicles., , , and . GLOBECOM, page 1-6. IEEE, (2021)Federated Learning Framework With Straggling Mitigation and Privacy-Awareness for AI-Based Mobile Application Services., , , , , and . IEEE Trans. Mob. Comput., 22 (9): 5296-5312 (September 2023)Customer Shopping Behavior Analysis Using RFID and Machine Learning Models., , , , , , , , , and 2 other author(s). Inf., 14 (10): 551 (2023)In-Network Caching and Learning Optimization for Federated Learning in Mobile Edge Networks., , , and . ICC, page 1653-1658. IEEE, (2022)Incentive Mechanism for AI-Based Mobile Applications with Coded Federated Learning., , , and . GLOBECOM, page 1-6. IEEE, (2021)Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks., , , , , and . CoRR, (2018)Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles., , , , , and . IEEE Trans. Mob. Comput., 22 (4): 2100-2115 (April 2023)Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles., , , and . CoRR, (2021)