Asynchronous Federated Learning with Differential Privacy for Edge Intelligence. - Yanan Li 004; Shusen Yang; Xuebin Ren; Cong Zhao 001 (CoRR, 2019)

Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis. - Yanan Li 004; Xuebin Ren; Shusen Yang; Xinyu Yang 001 (IEEE Trans. Inf. Forensics Secur., 2019)

p-Power Exponential Mechanisms for Differentially Private Machine Learning. - Yanan Li 004; Xuebin Ren; Fangyuan Zhao; Shusen Yang (IEEE Access, 2021)

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data. - Zihao Zhou; Yanan Li 004; Xuebin Ren; Shusen Yang (IEEE Trans. Parallel Distributed Syst., 2022)

Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning. - Zhengxiong Mao; Hui Li; Zuyuan Huang; Yuan Tian; Peng Zhao 001; Yanan Li 004 (J. Electr. Comput. Eng., 2023)

Long-Periodicity Detection from Massive Alarms in Power System. - Yunfan Yang; Xinyu Yang 001; Hao Huang; Shilong Zhang; Qinqin Wu; Yanan Li 004; Zhenwei Gu; Yang Liu 165 (ICNSC, 2024)

Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy. - Yanan Li 004; Shusen Yang; Xuebin Ren; Liang Shi; Cong Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A personalized cross-domain recommendation with federated meta learning. - Peng Zhao 001; Yuanyang Jin; Xuebin Ren; Yanan Li 004 (Multim. Tools Appl., 2024)

FedImpute: Personalized federated learning for data imputation with clusterer and auxiliary classifier. - Yanan Li 004; Shaocong Guo; Xinyuan Guo; Peng Zhao 001; Xuebin Ren; Hui Wang (Expert Syst. Appl., 2025)

FedGen: Personalized federated learning with data generation for enhanced model customization and class imbalance. - Peng Zhao 001; Shaocong Guo; Yanan Li 004; Shusen Yang; Xuebin Ren (Future Gener. Comput. Syst., 2025)