1. Differential Privacy Protection Based on Federated Learning in Mobile Crowdsensing;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14
2. A comprehensive survey on mobile crowdsensing systems;Journal of Systems Architecture;2023-09
3. Verifiable Timed Commitments f or Fair Sealed-bid Auctions;2023 IEEE International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs);2023-08-22
4. Blockchain-Based Privacy-Preserving Federated Learning for Mobile Crowdsourcing;IEEE Internet of Things Journal;2023
5. CrowdFA: A Privacy-Preserving Mobile Crowdsensing Paradigm via Federated Analytics;IEEE Transactions on Information Forensics and Security;2023