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Filters: Author is Y. Dai [Clear All Filters]
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks." IEEE Transactions on Vehicular Technology 69, no. 4 (2020): 4312-4324.
"Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics." IEEE Transactions on Industrial Informatics 16, no. 3 (2020): 2134-2143.
"Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems." IEEE Network 34, no. 3 (2020): 50-56.
"Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles." IEEE Wireless Communications Magazine 26, no. 3 (2019): 12-18.
"Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond." IEEE Network 33, no. 3 (2019).
"Blockchain and Federated Learning for Privacy-preserved Data Sharing in Industrial IoT." IEEE Transactions on Industrial Informatics (Early Access) (2019).
"Deep Reinforcement Learning for Edge Caching and Content Delivery in Internet of Vehicles In IEEE/CIC International Conference on Communications in China (ICCC). IEEE/CIC, 2019.
Deep Reinforcement Learning for Edge Computing and Resource Allocation in 5G Beyond In 2019 IEEE 19th International Conference on Communication Technology (ICCT). IEEE, 2019.
Joint Computation Offloading and User Association in Multi-task Mobile Edge Computing." IEEE Transactions on Vehicular Technology 67, no. 12 (2018): 12313-12325.
08496832.pdf (1.08 MB)
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Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks." IEEE Internet of Things Journal (2018).
08493149.pdf (1.4 MB)
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Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks In IEEE Globecom 2018. IEEE, 2018.
1570455760.pdf (471.29 KB)
