Jie Fu

According to our database, Jie Fu authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations.

Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen

Proceedings of the 25th IEEE International Symposium on a World of Wireless, 2025

2024

DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.

Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran

Proc. VLDB Endow., February, 2024

Differentially Private Federated Learning: A Systematic Review.

Jie Fu, Yuan Hong, Xinpeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun, Wendy Hui Wang, Zhili Chen, Yang Cao

CoRR, 2024

FedFDP: Federated Learning with Fairness and Differential Privacy.

Xinpeng Ling, Jie Fu, Zhili Chen, Kuncan Wang, Huifa Li, Tong Cheng, Guanying Xu, Qin Li

CoRR, 2024

DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering.

Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Differentially Private Graph Neural Networks for Link Prediction.

Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Truncated Laplace and Gaussian mechanisms of RDP.

Jie Fu, Zhiyu Sun, Haitao Liu, Zhili Chen

CoRR, 2023

Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis.

Xinpeng Ling, Jie Fu, Zhili Chen

CoRR, 2023

2022

SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing.

Jie Fu, Zhili Chen, Xinpeng Ling

CoRR, 2022

Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise.

Jie Fu, Zhili Chen, Xiao Han

Proceedings of the IEEE International Conference on Trust, 2022