Secure and Efficient Federated Transfer Learning. - Shreya Sharma 002; Chaoping Xing; Yang Liu 165; Yan Kang 001 (IEEE BigData, 2019)

A Communication Efficient Vertical Federated Learning Framework. - Yang Liu 165; Yan Kang 001; Xinwei Zhang 001; Liping Li 004; Yong Cheng; Tianjian Chen; Mingyi Hong 001; Qiang Yang 001 (CoRR, 2019)

Federated Learning - Qiang Yang 001; Yang Liu 165; Yong Cheng; Yan Kang 001; Tianjian Chen; Han Yu 001 (Morgan & Claypool Publishers, 2019)

FedML: A Research Library and Benchmark for Federated Machine Learning. - Chaoyang He 001; Songze Li; Jinhyun So; Mi Zhang 002; Hongyi Wang 001; Xiaoyang Wang; Praneeth Vepakomma; Abhishek Singh 005; Hang Qiu 001; Li Shen 005; Peilin Zhao; Yan Kang 001; et al. (CoRR, 2020)

FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training. - Yan Kang 001; Yang Liu 165; Tianjian Chen (CoRR, 2020)

A Secure Federated Transfer Learning Framework. - Yang Liu 165; Yan Kang 001; Chaoping Xing; Tianjian Chen; Qiang Yang 001 (IEEE Intell. Syst., 2020)

Federated Deep Learning with Bayesian Privacy. - Hanlin Gu; Lixin Fan; Bowen Li 013; Yan Kang 001; Yuan Yao 011; Qiang Yang 001 (CoRR, 2021)

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)

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. - Yuezhou Wu; Yan Kang 001; Jiahuan Luo; Yuanqin He; Qiang Yang 001 (CoRR, 2021)

Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability. - Yan Kang 001; Yang Liu 165; Yuezhou Wu; Guoqiang Ma; Qiang Yang 001 (CoRR, 2021)

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. - Yang Liu 165; Zhihao Yi; Yan Kang 001; Yuanqin He; Wenhan Liu; Tianyuan Zou; Qiang Yang 001 (CoRR, 2021)

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. - Yuezhou Wu; Yan Kang 001; Jiahuan Luo; Yuanqin He; Lixin Fan; Rong Pan; Qiang Yang 001 (IJCAI, 2022)

A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. - Yuanqin He; Yan Kang 001; Jiahuan Luo; Lixin Fan; Qiang Yang 001 (CoRR, 2022)

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. - Yan Kang 001; Jiahuan Luo; Yuanqin He; Xiaojin Zhang 002; Lixin Fan; Qiang Yang 001 (CoRR, 2022)

Vertical Federated Learning. - Yang Liu 165; Yan Kang 001; Tianyuan Zou; Yanhong Pu; Yuanqin He; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang; Qiang Yang 001 (CoRR, 2022)

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training. - Yan Kang 001; Yang Liu 165; Xinle Liang (ACM Trans. Intell. Syst. Technol., 2022)

FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. - Yang Liu 165; Xinwei Zhang 001; Yan Kang 001; Liping Li 004; Tianjian Chen; Mingyi Hong 001; Qiang Yang 001 (IEEE Trans. Signal Process., 2022)

FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. - Hanlin Gu; Jiahuan Luo; Yan Kang 001; Lixin Fan; Qiang Yang 001 (IJCAI, 2023)

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2023)

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)

Privacy in Large Language Models: Attacks, Defenses and Future Directions. - Haoran Li 003; Yulin Chen; Jinglong Luo; Yan Kang 001; Xiaojin Zhang 002; Qi Hu; Chunkit Chan; Yangqiu Song (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)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. - Hanlin Gu; Xinyuan Zhao; Yuxing Han 001; Yan Kang 001; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

Trading Off Privacy, Utility, and Efficiency in Federated Learning. - Xiaojin Zhang 002; Yan Kang 001; Kai Chen 005; Lixin Fan; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2023)

FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer. - Xin Gao; Xin Yang 012; Hao Yu; Yan Kang 001; Tianrui Li 001 (CVPR Workshops, 2024)

Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. - Qian Chen; Yiqiang Chen 001; Bingjie Yan; Xinlong Jiang; Xiaojin Zhang 002; Yan Kang 001; Teng Zhang; Wuliang Huang; Chenlong Gao; Lixin Fan; Qiang Yang 001 (ICDE, 2024)

Personalized Federated Continual Learning via Multi-Granularity Prompt. - Hao Yu; Xin Yang 012; Xin Gao; Yan Kang 001; Hao Wang 068; Junbo Zhang; Tianrui Li 001 (KDD, 2024)

Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning. - Hao Yu; Xin Yang 012; Xin Gao; Yihui Feng; Hao Wang 068; Yan Kang 001; Tianrui Li 001 (ACM Multimedia, 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)

Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. - Yan Kang 001; Ziyao Ren; Lixin Fan; Linghua Yang; Yongxin Tong; Qiang Yang 001 (CoRR, 2024)

FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. - Yuanqin He; Yan Kang 001; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

No Free Lunch Theorem for Privacy-Preserving LLM Inference. - Xiaojin Zhang 002; Yulin Fei; Yan Kang 001; Wei Chen 088; Lixin Fan; Hai Jin 001; Qiang Yang 001 (CoRR, 2024)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. - Hanlin Gu; Jiahuan Luo; Yan Kang 001; Yuan Yao 011; Gongxi Zhu; Bowen Li 013; Lixin Fan; Qiang Yang 001 (CoRR, 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)

A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. - Xiaojin Zhang 002; Yan Kang 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2024)

Vertical Federated Learning: Concepts, Advances, and Challenges. - Yang Liu 165; Yan Kang 001; Tianyuan Zou; Yanhong Pu; Yuanqin He; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 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)

Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. - Tianyuan Zou; Yang Liu 165; Yan Kang 001; Wenhan Liu; Yuanqin He; Zhihao Yi; Qiang Yang 001; Ya-Qin Zhang (IEEE Trans. Big Data, 2024)

Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 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)

No free lunch theorem for privacy-preserving LLM inference. - Xiaojin Zhang 002; Yahao Pang; Yan Kang 001; Wei Chen 088; Lixin Fan; Hai Jin 001; Qiang Yang 001 (Artif. Intell., 2025)

Grounding Foundation Models through Federated Transfer Learning: A General Framework. - Yan Kang 001; Tao Fan 002; Hanlin Gu; Xiaojin Zhang 002; Lixin Fan; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2025)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. - Hanlin Gu; Xinyuan Zhao; Gongxi Zhu; Yuxing Han 001; Yan Kang 001; Lixin Fan; Qiang Yang 001 (IEEE Trans. Big Data, 2025)

A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. - Yuanqin He; Yan Kang 001; Xinyuan Zhao; Jiahuan Luo; Lixin Fan; Yuxing Han 001; Qiang Yang 001 (IEEE Trans. Big Data, 2025)