| Secureboost: A lossless federated learning framework K Cheng, T Fan, Y Jin, Y Liu, T Chen, D Papadopoulos, Q Yang IEEE intelligent systems 36 (6), 87-98, 2021 | 705 | 2021 |
| Fate: An industrial grade platform for collaborative learning with data protection Y Liu, T Fan, T Chen, Q Xu, Q Yang Journal of Machine Learning Research 22 (226), 1-6, 2021 | 220 | 2021 |
| A quasi-newton method based vertical federated learning framework for logistic regression K Yang, T Fan, T Chen, Y Shi, Q Yang arXiv preprint arXiv:1912.00513, 2019 | 116 | 2019 |
| Fate-llm: A industrial grade federated learning framework for large language models T Fan, Y Kang, G Ma, W Chen, W Wei, L Fan, Q Yang arXiv preprint arXiv:2310.10049, 2023 | 53 | 2023 |
| SecureBoost: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree T Fan, W Chen, G Ma, Y Kang, L Fan, Q Yang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 237-249, 2024 | 43* | 2024 |
| Privacy-preserving federated adversarial domain adaptation over feature groups for interpretability Y Kang, Y He, J Luo, T Fan, Y Liu, Q Yang IEEE Transactions on Big Data, 2022 | 38 | 2022 |
| Grounding foundation models through federated transfer learning: A general framework Y Kang, T Fan, H Gu, L Fan, Q Yang arXiv preprint arXiv:2311.17431, 2023 | 13 | 2023 |
| FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models T Fan, G Ma, Y Kang, H Gu, L Fan, Q Yang arXiv preprint arXiv:2406.02224, 2024 | 2 | 2024 |
| Navigation in Complex Networks Using Random Walk Theory and Principal Component Analysis Y Gao, T Fan, S Cai 2019 16th International Computer Conference on Wavelet Active Media …, 2019 | 2 | 2019 |
| 基于 Internet AS 图的紧凑路由算法研究 范涛， 刘勇， 蔡世民， 傅忠谦 中国科学技术大学学报 43 (1), 73-78, 2013 | 1 | 2013 |
| Realizing compact routing scheme by message passing T Fan, SM Cai, Y Liu, ZQ Fu 2012 8th International Conference on Wireless Communications, Networking and …, 2012 | 1 | 2012 |
| 基于 FPGA 的二维 DCT IP 核优化设计 张德学， 范涛 微计算机信息, 23-25, 2010 | 1 | 2010 |
| 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 arXiv preprint arXiv:2409.00960, 2024 | | 2024 |
| PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models T Fan, Y Kang, W Chen, H Gu, Y Song, L Fan, K Chen, Q Yang arXiv preprint arXiv:2406.12403, 2024 | | 2024 |
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
