Xiaofeng Ding

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Online Learning

Skyline Queries

Differential Privacy

Differentially Private

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Inf. Forensics Secur.

Proc. VLDB Endow.

IEEE Internet Things J.

Publications

Lin Chen, Xiaofeng Ding, Mengqi Li, Hai Jin
Differentially Private Federated Learning With Importance Client Sampling. IEEE Trans. Consumer Electron. 70 (1) (2024)
Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun
: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73 (1) (2024)
Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin
Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Xiaofeng Ding, Yinting Zheng, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin
A learned spatial textual index for efficient keyword queries. J. Intell. Inf. Syst. 60 (3) (2023)
Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding
VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints. ICTAI (2023)
Zuan Wang, Liang Zhang, Xiaofeng Ding, Kim-Kwang Raymond Choo, Hai Jin
A Dynamic-Efficient Structure for Secure and Verifiable Location-Based Skyline Queries. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Jing Wu, Pan Zhou, Qimei Chen, Zichuan Xu, Xiaofeng Ding, Hao Jiang
Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things. IEEE Internet Things J. 10 (8, April 15) (2023)
Lin Chen, Danyang Yue, Xiaofeng Ding, Zuan Wang, Kim-Kwang Raymond Choo, Hai Jin
Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Lin Chen, Xiaofeng Ding, Pan Zhou, Hai Jin
Distributed dynamic online learning with differential privacy via path-length measurement. Inf. Sci. 630 (2023)
Zuan Wang, Xiaofeng Ding, Junfeng Lu, Liang Zhang, Pan Zhou, Kim-Kwang Raymond Choo, Hai Jin
Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Zuan Wang, Xiaofeng Ding, Hai Jin, Pan Zhou
Efficient Secure and Verifiable Location-Based Skyline Queries over Encrypted Data. Proc. VLDB Endow. 15 (9) (2022)
Xiaofeng Ding, Hongbiao Fang, Zhilin Zhang, Kim-Kwang Raymond Choo, Hai Jin
Privacy-Preserving Feature Extraction via Adversarial Training. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Xiaofeng Ding, Shujun Sheng, Huajian Zhou, Xiaodong Zhang, Zhifeng Bao, Pan Zhou, Hai Jin
Differentially Private Triangle Counting in Large Graphs. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin
Differentially Private Deep Learning with Iterative Gradient Descent Optimization. Trans. Data Sci. 2 (4) (2021)