| A survey of trustworthy federated learning: Issues, solutions, and challenges Y Zhang, D Zeng, J Luo, X Fu, G Chen, Z Xu, I King ACM Transactions on Intelligent Systems and Technology 15 (6), 1-47, 2024 | 13 | 2024 |
| Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference J Luo, G Chen, Y Zhang, S Liu, H Wang, Y Yu, X Zhou, Y Qi, Z Xu arXiv preprint arXiv:2412.10652, 2024 | | 2024 |
| Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack G Chen, Z Qin, M Yang, Y Zhou, T Fan, T Du, Z Xu Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024 | | 2024 |
| FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data Y Zhang, G Chen, Z Xu, J Wang, D Zeng, J Li, J Wang, Y Qi, I King arXiv preprint arXiv:2411.07050, 2024 | | 2024 |
| From Continuous Pre-Training to Alignment: A Comprehensive Toolkit for Large Language Models in Federated Learning Z Zhang, Y Zhang, G Chen, L Qu, X Zhou, H Wang, Z Xu Available at SSRN 5087720, 0 | | |
Zenglin XuFudan University在 fudan.edu.cn 的电子邮件经过验证