Jiaqi Zhao

According to our database, Jiaqi Zhao authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient and privacy-preserving tree-based inference via additive homomorphic encryption.

Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li

Inf. Sci., December, 2023

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

Jiaqi Zhao, Hui Zhu, Wei Xu, Fengwei Wang, Rongxing Lu, Hui Li

IEEE Trans. Inf. Forensics Secur., 2023

VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic Regression.

Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Ermei Wang, Linfeng Li, Hui Li

IEEE Trans. Cloud Comput., 2023

Efficient and Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned Data.

Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li

Proceedings of the IEEE Global Communications Conference, 2023

2022

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

Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Zhe Liu, Hui Li

IEEE Trans. Inf. Forensics Secur., 2022

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

Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Jingwei Tu, Jie Shen

Inf. Sci., 2022

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

Qi Xu, Hui Zhu, Yandong Zheng, Jiaqi Zhao, Rongxing Lu, Hui Li

IEEE Internet Things J., 2022

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

Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Zhongmin Zhou, Haitao Wan

Sci. China Inf. Sci., 2022