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Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism., , , , , , и . IEEE Commun. Mag., 58 (10): 88-93 (2020)Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges., , , , и . IEEE Commun. Surv. Tutorials, 23 (3): 1759-1799 (2021)Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions., , , , и . CoRR, (2022)Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges., , , , и . CoRR, (2020)Machine Learning for Metaverse-enabled Wireless Systems: Vision, Requirements, and Challenges., , , , , , и . CoRR, (2022)Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges., , , , , и . IEEE Netw., 34 (1): 174-181 (2020)Edge Intelligence Empowered Vehicular Metaverse: Key Design Aspects and Future Directions., , , и . IEEE Internet Things Mag., 7 (1): 120-126 (января 2024)Resource Optimized Hierarchical Split Federated Learning for Wireless Networks., , и . CPS-IoT Week Workshops, стр. 254-259. ACM, (2023)Ordinary microfluidic electrodes combined with bulk nanoprobe produce multidimensional electric double-layer capacitances towards metal ion recognition, , , , , , , , , и 5 other автор(ы). SENSORS AND ACTUATORS B-CHEMICAL, (2020)FL-Incentivizer: FL-NFT and FL-Tokens for Federated Learning Model Trading and Training., , , , и . IEEE Access, (2023)