Jiaqi Zhao

ACCEL: an efficient and privacy-preserving federated logistic regression scheme over vertically partitioned data

Rongxing Lu, Hui Li, Hui Zhu, 2022 .

An Efficient and Privacy-Preserving Route Matching Scheme for Carpooling Services

Rongxing Lu, Hui Zhu, Jiaqi Zhao, 2022, IEEE Internet of Things Journal.

SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting Framework

Rongxing Lu, Hui Zhu, Jiaqi Zhao, 2023, IEEE Transactions on Information Forensics and Security.

CORK: A privacy-preserving and lossless federated learning scheme for deep neural network

Rongxing Lu, Hui Zhu, Jiaqi Zhao, 2022, Inf. Sci..

PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework

Zhe Liu, Rongxing Lu, Hui Li, 2022, IEEE Transactions on Information Forensics and Security.

Security and Privacy Threats to Federated Learning: Issues, Methods, and Challenges

Hui Zhu, Jiaqi Zhao, Fengwei Wang, 2022, Security and Communication Networks.