Dongdong Ye
Orcid: 0000-0003-4835-5444
According to our database1,
Dongdong Ye
authored at least 29 papers
between 2008 and 2024.
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Bibliography
2024
When Metaverses Meet Vehicle Road Cooperation: Multiagent DRL-Based Stackelberg Game for Vehicular Twins Migration.
IEEE Internet Things J., November, 2024
Tiny Multiagent DRL for Twins Migration in UAV Metaverses: A Multileader Multifollower Stackelberg Game Approach.
IEEE Internet Things J., June, 2024
Blockchain-Empowered Federated Learning for Healthcare Metaverses: User-Centric Incentive Mechanism With Optimal Data Freshness.
IEEE Trans. Cogn. Commun. Netw., February, 2024
Federated Split Learning With Data and Label Privacy Preservation in Vehicular Networks.
IEEE Trans. Veh. Technol., January, 2024
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks.
CoRR, 2024
Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach.
CoRR, 2024
2023
When Metaverses Meet Vehicle Road Cooperation: Multi-Agent DRL-Based Stackelberg Game for Vehicular Twins Migration.
CoRR, 2023
2022
Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality.
IEEE Internet Things J., 2022
Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI.
Proceedings of the IEEE International Conference on Blockchain, 2022
2021
Efficient Workload Allocation and User-Centric Utility Maximization for Task Scheduling in Collaborative Vehicular Edge Computing.
IEEE Trans. Veh. Technol., 2021
Consortium Blockchain for Secure Resource Sharing in Vehicular Edge Computing: A Contract-Based Approach.
IEEE Trans. Netw. Sci. Eng., 2021
URLLC resource slicing and scheduling for trustworthy 6G vehicular services: A federated reinforcement learning approach.
Phys. Commun., 2021
Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach.
IEEE Internet Things J., 2021
Spears and shields: attacking and defending deep model co-inference in vehicular crowdsensing networks.
EURASIP J. Adv. Signal Process., 2021
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021
2020
IEEE Trans. Ind. Electron., 2020
Securing parked vehicle assisted fog computing with blockchain and optimal smart contract design.
IEEE CAA J. Autom. Sinica, 2020
Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach.
IEEE Access, 2020
2019
Incentivizing Consensus Propagation in Proof-of-Stake Based Consortium Blockchain Networks.
IEEE Wirel. Commun. Lett., 2019
Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory.
IEEE Trans. Veh. Technol., 2019
2018
IEEE Trans. Ind. Informatics, 2018
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory.
CoRR, 2018
2017
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017
Optimized Workload Allocation in Vehicular Edge Computing: A Sequential Game Approach.
Proceedings of the Communications and Networking, 2017
2016
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016
Proceedings of the 3rd IEEE International Conference on Cyber Security and Cloud Computing, 2016
2008