SecureBoost: A Lossless Federated Learning Framework. - Kewei Cheng; Tao Fan 002; Yilun Jin; Yang Liu 165; Tianjian Chen; Qiang Yang 001 (CoRR, 2019)

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression. - Kai Yang 006; Tao Fan 002; Tianjian Chen; Yuanming Shi; Qiang Yang 001 (CoRR, 2019)

SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning. - Weijing Chen; Guoqiang Ma; Tao Fan 002; Yan Kang 001; Qian Xu 005; Qiang Yang 001 (CoRR, 2021)

SecureBoost: A Lossless Federated Learning Framework. - Kewei Cheng; Tao Fan 002; Yilun Jin; Yang Liu 165; Tianjian Chen; Dimitrios Papadopoulos 001; Qiang Yang 001 (IEEE Intell. Syst., 2021)

FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection. - Yang Liu 165; Tao Fan 002; Tianjian Chen; Qian Xu 005; Qiang Yang 001 (J. Mach. Learn. Res., 2021)

SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. - Ziyao Ren; Yan Kang 001; Lixin Fan; Linghua Yang; Tao Fan 002; Yongxin Tong; Qiang Yang 001 (CoRR, 2023)

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models. - Tao Fan 002; Yan Kang 001; Guoqiang Ma; Weijing Chen; Wenbin Wei 010; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

Grounding Foundation Models through Federated Transfer Learning: A General Framework. - Yan Kang 001; Tao Fan 002; Hanlin Gu; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack. - Guanzhong Chen; Zhenghan Qin; Mingxin Yang; Yajie Zhou; Tao Fan 002; Tianyu Du; Zenglin Xu (CCS, 2024)

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. - Tao Fan 002; Weijing Chen; Guoqiang Ma; Yan Kang 001; Lixin Fan; Qiang Yang 001 (PAKDD (3), 2024)

PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. - Tao Fan 002; Yan Kang 001; Weijing Chen; Hanlin Gu; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models. - Tao Fan 002; Yan Kang 001; Guoqiang Ma; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

Accelerating Vertical Federated Learning. - Dongqi Cai 001; Tao Fan 002; Yan Kang 001; Lixin Fan; Mengwei Xu; Shangguang Wang; Qiang Yang 001 (IEEE Trans. Big Data, 2024)

Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. - Yan Kang 001; Yuanqin He; Jiahuan Luo; Tao Fan 002; Yang Liu 165; Qiang Yang 001 (IEEE Trans. Big Data, 2024)

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. - Tao Fan 002; Guoqiang Ma; Yan Kang 001; Hanlin Gu; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (COLING, 2025)

PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation. - Tao Fan 002; Guoqiang Ma; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2025)

Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study. - Baixuan Xu; Chunyang Li; Weiqi Wang 001; Wei Fan 001; Tianshi Zheng; Haochen Shi; Tao Fan 002; Yangqiu Song; Qiang Yang 001 (CoRR, 2025)

INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling. - Haochen Shi; Tianshi Zheng; Weiqi Wang 001; Baixuan Xu; Chunyang Li; Chunkit Chan; Tao Fan 002; Yangqiu Song; Qiang Yang 001 (CoRR, 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)