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cs.LG2025
Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Zenghao Guan, Guojun Zhu, Yucan Zhou +4
Federated Class-Incremental Learning (FCIL) enables Class-Incremental Learning (CIL) from distributed data. Existing FCIL methods typically integrate old knowledge preservation int…
cs.LG2025
Capture Global Feature Statistics for One-Shot Federated Learning
Zenghao Guan, Yucan Zhou, Xiaoyan Gu
Traditional Federated Learning (FL) necessitates numerous rounds of communication between the server and clients, posing significant challenges including high communication costs,…