CrowdFA: A Privacy-Preserving Mobile Crowdsensing Paradigm via Federated Analytics - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Bowen Zhao, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Yingjiu Li, Robert H. Deng. CrowdFA: A Privacy-Preserving Mobile Crowdsensing Paradigm via Federated Analytics. IEEE Transactions on Information Forensics and Security, 18:5416-5430, 2023. [doi]

The following publications are possibly variants of this publication:

CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated LearningBowen Zhao, Ximeng Liu, Wei-neng Chen, Robert H. Deng. tmc, 22(8):4607-4619, August 2023. [doi]

Privacy-Preserving in Mobile CrowdsensingChuan Zhang 0003, Tong Wu 0011, Youqi Li, Liehuang Zhu. Springer, 2023. [doi]

On the Data Quality in Privacy-Preserving Mobile Crowdsensing Systems with Untruthful ReportingCong Zhao, Shusen Yang, Julie A. McCann. tmc, 20(2):647-661, 2021. [doi]

runs on WebDSL