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ORCIDJiaqi Zhao 0005
Person information
- affiliation: Xidian University, School of Cyber Engineering, Xi'an, China
Other persons with the same name
- Jiaqi Zhao — disambiguation page
- Jiaqi Zhao 0001
![[0000-0002-3564-5090]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3564-5090")
— China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China (and 1 more) - Jiaqi Zhao 0002 — University of Posts and Telecommunications, Beijing, China
- Jiaqi Zhao 0003 — Xi'an Jiaotong University, School of Electrical Engineering, Xi'an, China
- Jiaqi Zhao 0004 — Changchun University of Technology, School of Basic Science, Changchun, China
- Jiaqi Zhao 0006 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Jiaqi Zhao 0007 — Fudan University, Shanghai, China
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2020 – today
- 2025
[j11]Jiaqi Zhao, Hui Zhu, Junpeng Zhang, Jiezhen Tang, Fengwei Wang, Hui Li:
SplitAD: A lightweight and privacy-enhancing vertical federated anomaly detection framework based on hierarchical autoencoders. Inf. Sci. 714: 122211 (2025)- [j10]Junpeng Zhang, Hui Zhu, Jiaqi Zhao, Rongxing Lu, Yandong Zheng, Jiezhen Tang, Hui Li:
COKV: Key-Value Data Collection With Condensed Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 20: 3260-3273 (2025) - 2024
- [j9]Wei Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Jiaqi Zhao, Zhe Liu, Hui Li:
ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning. IEEE Trans. Serv. Comput. 17(3): 878-892 (2024) - [j8]Jiaqi Zhao, Hui Zhu, Fengwei Wang, Yandong Zheng, Rongxing Lu, Hui Li:
Efficient and Privacy-Preserving Federated Learning Against Poisoning Adversaries. IEEE Trans. Serv. Comput. 17(5): 2320-2333 (2024) - [c2]Jiezhen Tang, Hui Zhu, Yandong Zheng, Junpeng Zhang, Fengwei Wang, Jiaqi Zhao, Hui Li:
UNIRE: Secure Trajectory-User Linking Model Aggregation with Knowledge Transfer. TrustCom 2024: 916-925 - 2023
- [j7]Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li:
Efficient and privacy-preserving tree-based inference via additive homomorphic encryption. Inf. Sci. 650: 119480 (2023) - [j6]Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Ermei Wang, Linfeng Li, Hui Li:
VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic Regression. IEEE Trans. Cloud Comput. 11(4): 3326-3340 (2023) - [j5]Jiaqi Zhao, Hui Zhu, Wei Xu, Fengwei Wang, Rongxing Lu, Hui Li:
SGBoost: An Efficient and Privacy-Preserving Vertical Federated Tree Boosting Framework. IEEE Trans. Inf. Forensics Secur. 18: 1022-1036 (2023) - [c1]Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li:
Efficient and Privacy-Preserving Logistic Regression Prediction over Vertically Partitioned Data. GLOBECOM 2023: 4253-4258 - 2022
- [j4]Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Zhongmin Zhou, Haitao Wan:
ACCEL: an efficient and privacy-preserving federated logistic regression scheme over vertically partitioned data. Sci. China Inf. Sci. 65(7): 1-2 (2022) - [j3]Qi Xu, Hui Zhu, Yandong Zheng, Jiaqi Zhao, Rongxing Lu, Hui Li:
An Efficient and Privacy-Preserving Route Matching Scheme for Carpooling Services. IEEE Internet Things J. 9(20): 19890-19902 (2022) - [j2]Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Hui Li, Jingwei Tu, Jie Shen:
CORK: A privacy-preserving and lossless federated learning scheme for deep neural network. Inf. Sci. 603: 190-209 (2022) - [j1]Jiaqi Zhao, Hui Zhu, Fengwei Wang, Rongxing Lu, Zhe Liu, Hui Li:
PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework. IEEE Trans. Inf. Forensics Secur. 17: 2059-2073 (2022)
Coauthor Index
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