Robust Federated Learning with Noisy and Heterogeneous Clients. - Xiuwen Fang; Mang Ye (CVPR, 2022)

Robust Heterogeneous Federated Learning under Data Corruption. - Xiuwen Fang; Mang Ye; Xiyuan Yang (ICCV, 2023)

Heterogeneous Federated Learning: State-of-the-art and Research Challenges. - Mang Ye; Xiuwen Fang; Bo Du 001; Pong C. Yuen; Dacheng Tao (ACM Comput. Surv., 2024)

Image-assisted Label Connective Completion for Vessel Segmentation with Insufficient Annotations. - Xiaoqi Zheng; Baoyao Yang; Xiuwen Fang; Wenfang Yao; Mang Ye (ICASSP, 2025)

Robust Asymmetric Heterogeneous Federated Learning With Corrupted Clients. - Xiuwen Fang; Mang Ye; Bo Du 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Noise-Robust Federated Learning With Model Heterogeneous Clients. - Xiuwen Fang; Mang Ye (IEEE Trans. Mob. Comput., 2025)