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Towards Secure and Practical Targeted Mobile Advertising.

, , , , and . MSN, page 79-88. IEEE Computer Society, (2015)

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A reputation-based and privacy-preserving incentive scheme for mobile crowd sensing: a deep reinforcement learning approach., , , and . Wirel. Networks, 30 (6): 4685-4698 (August 2024)Privacy-Assured Large-Scale Navigation from Encrypted Approximate Shortest Path Recommendation.. MSN, volume 747 of Communications in Computer and Information Science, page 195-211. Springer, (2017)Towards Secure and Accurate Targeted Mobile Coupon Delivery., , , , , , and . IEEE Access, (2016)DBS: Blockchain-Based Privacy-Preserving RBAC in IoT., , , , , and . QSHINE, volume 402 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 94-110. Springer, (2021)Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain., , , and . QSHINE, volume 402 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 111-125. Springer, (2021)A fair and verifiable federated learning profit-sharing scheme., , , and . Wirel. Networks, 30 (6): 4669-4684 (August 2024)An Efficient and Accurate Encrypted Image Retrieval Scheme via Ball Tree., , , and . BigCom, page 365-371. IEEE, (2022)FedEF: Federated Learning for Heterogeneous and Class Imbalance Data., , , and . ISCC, page 619-624. IEEE, (2023)Personalized federated learning based on feature fusion., , , , and . CoRR, (2024)Achieving fair and accountable data trading for educational multimedia data based on blockchain., , , , and . Wirel. Networks, 30 (5): 4389-4401 (July 2024)