| Differentially private federated learning: A systematic review J Fu, Y Hong, X Ling, L Wang, X Ran, Z Sun, WH Wang, Z Chen, Y Cao arXiv preprint arXiv:2405.08299, 2024 | 10 | 2024 |
| ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations X Ling, J Fu, K Wang, H Liu, Z Chen arXiv preprint arXiv:2308.10457, 2023 | 4* | 2023 |
| Dp-dcan: Differentially private deep contrastive autoencoder network for single-cell clustering H Li, J Fu, Z Chen, X Yang, H Liu, X Ling International Conference on Intelligent Computing, 380-392, 2024 | 1 | 2024 |
| FedFDP: Fairness-Aware Federated Learning with Differential Privacy X Ling, J Fu, K Wang, H Li, T Cheng, Z Chen arXiv preprint arXiv:2402.16028, 2024 | 1* | 2024 |
| Single-cell Curriculum Learning-based Deep Graph Embedding Clustering H Li, J Fu, X Ling, Z Sun, K Wang, Z Chen arXiv preprint arXiv:2408.10511, 2024 | | 2024 |
| SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing J Fu, Z Chen, XP Ling arXiv preprint arXiv:2211.07218, 2022 | | 2022 |
