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

A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning. - Hongze Liu; Jie Li 002; Shijing Yuan; Wenqi Cao; Bowen Li 013 (CoRR, 2022)

Federated Learning with Privacy-preserving and Model IP-right-protection. - Qiang Yang 001; Anbu Huang; Lixin Fan; Chee Seng Chan; Jian Han Lim; Kam Woh Ng; Ding Sheng Ong; Bowen Li 013 (Int. J. Autom. Comput., 2023)

FedIPR: Ownership Verification for Federated Deep Neural Network Models. - Bowen Li 013; Lixin Fan; Hanlin Gu; Jie Li 002; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fast Secure Aggregation With High Dropout Resilience for Federated Learning. - Shisong Yang; Yuwen Chen 002; Zhen Yang 004; Bowen Li 013; Huan Liu 001 (IEEE Trans. Green Commun. Netw., 2023)

SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning. - Bowen Li 013; Jian Zhang; Jie Li 002; Chentao Wu (ICPR (5), 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)

Temporal Gradient Inversion Attacks With Robust Optimization. - Bowen Li 013; Hanlin Gu; Ruoxin Chen; Jie Li 002; Chentao Wu; Na Ruan; Xueming Si; Lixin Fan (IEEE Trans. Dependable Secur. Comput., 2025)