Self-supervised Cross-silo Federated Neural Architecture Search. - Xinle Liang; Yang Liu 165; Jiahuan Luo; Yuanqin He; Tianjian Chen; 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)

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)

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)

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. - Yuanfeng Song; Yuanqin He; Xuefang Zhao; Hanlin Gu; Di Jiang; Haijun Yang; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

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)

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. - Yuanfeng Song; Yuanqin He; Xuefang Zhao; Hanlin Gu; Di Jiang; Haijun Yang; Lixin Fan (J. Comput. Sci. 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)

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)

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)