Yan Kang - RankMe

56 papers A* 5B 1Journal 45Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. IEEE Trans. Big Data Yuanqin He, Yan Kang, Xinyuan Zhao, Jiahuan Luo, Lixin Fan, Yuxing Han, Qiang Yang
2025	J	`jnl`	A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. IEEE Trans. Big Data Hanlin Gu, Xinyuan Zhao, Gongxi Zhu, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
2025	—	`conf`	FedCoT: Federated Chain-of-Thought Distillation for Large Language Models. EMNLP (Findings) Tao Fan, Weijing Chen, Yan Kang, Guoqiang Ma, Hanlin Gu, Yuanfeng Song, Lixin Fan, Qiang Yang
2025	B	`conf`	FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. COLING Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2025	J	`jnl`	Grounding Foundation Models through Federated Transfer Learning: A General Framework. ACM Trans. Intell. Syst. Technol. Yan Kang, Tao Fan, Hanlin Gu, Xiaojin Zhang, Lixin Fan, Qiang Yang
2025	J	`jnl`	No free lunch theorem for privacy-preserving LLM inference. Artif. Intell. Xiaojin Zhang, Yahao Pang, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
2024	J	`jnl`	A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	Accelerating Vertical Federated Learning. IEEE Trans. Big Data Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang
2024	J	`jnl`	Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. IEEE Trans. Big Data Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang
2024	J	`jnl`	FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
2024	J	`jnl`	FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models. CoRR Tao Fan, Yan Kang, Guoqiang Ma, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. CoRR Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang
2024	J	`jnl`	FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. CoRR Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2024	—	`conf`	FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer. CVPR Workshops Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li
2024	J	`jnl`	FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer. CoRR Xin Gao, Xin Yang, Hao Yu, Yan Kang, Tianrui Li
2024	J	`jnl`	Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang
2024	A*	`conf`	Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. ICDE Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang
2024	J	`jnl`	No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
2024	J	`jnl`	Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. ACM Trans. Intell. Syst. Technol. Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2024	A*	`conf`	Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning. ACM Multimedia Hao Yu, Xin Yang, Xin Gao, Yihui Feng, Hao Wang, Yan Kang, Tianrui Li
2024	J	`jnl`	PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. CoRR Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2024	A*	`conf`	Personalized Federated Continual Learning via Multi-Granularity Prompt. KDD Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li
2024	J	`jnl`	Personalized Federated Continual Learning via Multi-granularity Prompt. CoRR Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li
2024	J	`jnl`	Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. IEEE Trans. Big Data Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang
2024	—	`conf`	SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. PAKDD (3) Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang
2024	J	`jnl`	Vertical Federated Learning: Concepts, Advances, and Challenges. IEEE Trans. Knowl. Data Eng. Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2023	J	`jnl`	A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. CoRR Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. CoRR Hanlin Gu, Xinyuan Zhao, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
2023	J	`jnl`	FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models. CoRR Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang
2023	A*	`conf`	FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
2023	J	`jnl`	FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
2023	J	`jnl`	Grounding Foundation Models through Federated Transfer Learning: A General Framework. CoRR Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang
2023	J	`jnl`	Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	Privacy in Large Language Models: Attacks, Defenses and Future Directions. CoRR Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song
2023	J	`jnl`	SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang
2023	J	`jnl`	Trading Off Privacy, Utility, and Efficiency in Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
2022	J	`jnl`	A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang
2022	J	`jnl`	A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang
2022	J	`jnl`	Accelerating Vertical Federated Learning. CoRR Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang
2022	J	`jnl`	FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. IEEE Trans. Signal Process. Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang
2022	A*	`conf`	FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang
2022	J	`jnl`	FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training. ACM Trans. Intell. Syst. Technol. Yan Kang, Yang Liu, Xinle Liang
2022	J	`jnl`	Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
2022	J	`jnl`	Vertical Federated Learning. CoRR Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2021	J	`jnl`	Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. CoRR Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang
2021	J	`jnl`	FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. CoRR Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang
2021	J	`jnl`	Federated Deep Learning with Bayesian Privacy. CoRR Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang
2021	J	`jnl`	Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability. CoRR Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang
2021	J	`jnl`	SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning. CoRR Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang
2020	J	`jnl`	A Secure Federated Transfer Learning Framework. IEEE Intell. Syst. Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training. CoRR Yan Kang, Yang Liu, Tianjian Chen
2019	J	`jnl`	A Communication Efficient Vertical Federated Learning Framework. CoRR Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang
2019	—	`book`	Federated Learning Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu
2019	—	`conf`	Secure and Efficient Federated Transfer Learning. IEEE BigData Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang
2019	J	`jnl`	Secure and Efficient Federated Transfer Learning. CoRR Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang