Enhancing Robustness Against Heterogeneity via Class-Difficulty Based Weights. - Teng Liu; Menghan Shang; Haoshuo Li; Tao Zhang (NaNA, 2023)

FedADDP: Privacy-Preserving Personalized Federated Learning with Adaptive Dimensional Differential Privacy. - Yangyang Guo; Tao Zhang 029; Xutong Mu; Haoshuo Li; Xuewen Dong; Qi Li 011 (ICA3PP (5), 2024)

FBR-FL: Fair and Byzantine-Robust Federated Learning via SPD Manifold. - Tao Zhang 029; Haoshuo Li; Teng Liu; Anxiao Song; Yulong Shen 001 (PRCV (1), 2024)

Guard-FL: An UMAP-Assisted Robust Aggregation for Federated Learning. - Anxiao Song; Haoshuo Li; Ke Cheng 001; Tao Zhang 029; Aijing Sun; Yulong Shen 001 (IEEE Internet Things J., 2024)