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Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach.

, , , , , and . IEEE Internet Things J., 8 (13): 10639-10651 (2021)

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Spears and shields: attacking and defending deep model co-inference in vehicular crowdsensing networks., , , and . EURASIP J. Adv. Signal Process., 2021 (1): 114 (2021)A Hierarchical Pseudonyms Management Approach for Software-Defined Vehicular Networks., , , , , and . VTC Spring, page 1-5. IEEE, (2016)Collaborative data collection with hybrid vehicular crowd sensing in smart cities., , , and . WCSP, page 1-6. IEEE, (2017)Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach., , , , , and . IEEE Internet Things J., 8 (13): 10639-10651 (2021)Evaluation of Inference Attack Models for Deep Learning on Medical Data., , , , , , and . CoRR, (2020)Scalable Fog Computing with Service Offloading in Bus Networks., , , and . CSCloud, page 247-251. IEEE Computer Society, (2016)Collaborative vehicle sensing in bus networks: A Stackelberg game approach., , , and . ICCC, page 1-6. IEEE, (2016)Optimized Workload Allocation in Vehicular Edge Computing: A Sequential Game Approach., , , and . ChinaCom (2), volume 237 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 542-551. Springer, (2017)Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality., , , , , and . ITSC, page 1429-1434. IEEE, (2023)Federated Split Learning With Data and Label Privacy Preservation in Vehicular Networks., , , , , , and . IEEE Trans. Veh. Technol., 73 (1): 1223-1238 (January 2024)