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Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges.

, , , , , and . IEEE Netw., 34 (1): 174-181 (2020)

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Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism., , , , , , and . IEEE Commun. Mag., 58 (10): 88-93 (2020)Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges., , , , and . IEEE Commun. Surv. Tutorials, 23 (3): 1759-1799 (2021)Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions., , , , and . CoRR, (2022)Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges., , , , and . CoRR, (2020)Autonomous Driving Cars in Smart Cities: Recent Advances, Requirements, and Challenges., , , , , and . IEEE Netw., 34 (1): 174-181 (2020)Machine Learning for Metaverse-enabled Wireless Systems: Vision, Requirements, and Challenges., , , , , , and . CoRR, (2022)Edge Intelligence Empowered Vehicular Metaverse: Key Design Aspects and Future Directions., , , and . IEEE Internet Things Mag., 7 (1): 120-126 (January 2024)Resource Optimized Hierarchical Split Federated Learning for Wireless Networks., , and . CPS-IoT Week Workshops, page 254-259. ACM, (2023)On-Device Computational Caching-Enabled Augmented Reality for 5G and Beyond: A Contract-Theory-Based Incentive Mechanism., , , , , and . IEEE Internet Things J., 8 (24): 17382-17394 (2021)Ordinary microfluidic electrodes combined with bulk nanoprobe produce multidimensional electric double-layer capacitances towards metal ion recognition, , , , , , , , , and 5 other author(s). SENSORS AND ACTUATORS B-CHEMICAL, (2020)