| 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 | 911 | 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 | 358 | 2021 |
| 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 | 165 | 2023 |
| A quasi-newton method based vertical federated learning framework for logistic regression K Yang, T Fan, T Chen, Y Shi, Q Yang FL-NeurIPS 19, 2019 | 133 | 2019 |
| 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 | 72* | 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 10 (6), 879-890, 2022 | 60 | 2022 |
| Grounding foundation models through federated transfer learning: A general framework Y Kang, T Fan, H Gu, X Zhang, L Fan, Q Yang ACM Transactions on Intelligent Systems and Technology 16 (4), 1-54, 2025 | 40 | 2025 |
| Ten challenging problems in federated foundation models T Fan, H Gu, X Cao, CS Chan, Q Chen, Y Chen, Y Feng, Y Gu, J Geng, ... IEEE Transactions on Knowledge and Data Engineering, 2025 | 40 | 2025 |
| Fedmkt: Federated mutual knowledge transfer for large and small language models T Fan, G Ma, Y Kang, H Gu, Y Song, L Fan, K Chen, Q Yang Proceedings of the 31st International Conference on Computational …, 2025 | 28 | 2025 |
| Accelerating vertical federated learning D Cai, T Fan, Y Kang, L Fan, M Xu, S Wang, Q Yang IEEE Transactions on Big Data 10 (6), 752-760, 2022 | 22 | 2022 |
| 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 | 8 | 2024 |
| Fedcollm: A parameter-efficient federated co-tuning framework for large and small language models T Fan, Y Kang, G Ma, L Fan, K Chen, Q Yang arXiv preprint arXiv:2411.11707, 2024 | 8 | 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 | 8 | 2024 |
| Towards multi-agent reasoning systems for collaborative expertise delegation: An exploratory design study B Xu, C Li, W Wang, W Fan, T Zheng, H Shi, T Fan, Y Song, Q Yang arXiv preprint arXiv:2505.07313, 2025 | 5 | 2025 |
| PPC-GPT: federated task-specific compression of large language models via pruning and chain-of-thought distillation T Fan, G Ma, Y Song, L Fan, Q Yang Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 3 | 2025 |
| INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling H Shi, T Zheng, W Wang, B Xu, C Li, C Chan, T Fan, Y Song, Q Yang arXiv preprint arXiv:2505.16303, 2025 | 3 | 2025 |
| Federated-learning based method of acquiring model parameters, system and readable storage medium T Fan, MA Guoqiang, T Chen, Q Yang, Y Liu US Patent App. 17/231,314, 2021 | 3 | 2021 |
| 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 |
| H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity W Guo, S Lu, Y Tong, Z Hu, F Zhuang, X Zhang, T Fan, J Dong ECAI, 2025, 2025 | 1 | 2025 |
| Text-to-TrajVis: Enabling Trajectory Data Visualizations from Natural Language Questions T Bai, H Ying, K Suo, J Wei, T Fan, Y Song arXiv preprint arXiv:2504.16358, 2025 | 1 | 2025 |
Qiang Yang (杨强）Hong Kong Polytechnic University, Emeritus(Chair Prof. HKUST, CAIO WeBank), IJCAI President 2017-19Verified email at polyu.edu.hk
