2 papers
cs.CV2026
Federated Balanced Learning
Jiaze Li, Haoran Xu, Wanyi Wu +9
Federated learning is a paradigm of joint learning in which clients collaborate by sharing model parameters instead of data. However, in the non-iid setting, the global model exper…
cs.LG2025
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu, Jiaze Li, Wanyi Wu +1
Federated Learning (FL) suffers from severe performance degradation due to the data heterogeneity among clients. Existing works reveal that the fundamental reason is that data hete…