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Ping Xie

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Aug 2026

Prototype-based federated learning for one-time soft clustering

Experiments under representative Non-IID settings on benchmark datasets show that PFLS-One achieves improved accuracy and faster convergence compared with representative baseline methods, and the convergence analysis under a non-convex objective provides theoretical support for the proposed method.

Ping Xie, Xiangrui Gao, Jingyan Wu et al. · 0 citations