Yan Kang

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 10

Top Topics

Vertically Partitioned Data

Privacy Preserving

Knowledge Transfer

Top Venues

ACM Trans. Intell. Syst. Technol.

Publications

Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. PAKDD (3) (2024)
Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. CoRR (2024)
Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
Vertical Federated Learning: Concepts, Advances, and Challenges. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. ICDE (2024)
Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR (2024)
Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR (2024)
Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR (2024)
Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. CoRR (2024)
Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. CoRR (2024)