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Ming-Di Huang

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Preprint Oct 2026

Split Federated Unlearning

Split federated learning (SFL) combines partitioned model execution with federated aggregation to support collaborative learning across distributed Web and edge environments. However, removing learned contributions in SFL is challenging due to cross-partition coupling and historical influence propagation through dual-s...

Jia Chen, Ye-Cheng Lv, Xin-Rong Hu et al. · 0 citations

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