Author

Xiaolin Chang

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Open access Aug 2026

AMAF-FCL: Adaptive Multi-Factor Accurate Forgetting for Heterogeneous Federated Continual Learning

Results indicate that multi-factor reliability assessment and heterogeneity-aware adaptive forgetting improve the balance between useful knowledge retention and harmful-knowledge suppression in heterogeneous FCL.

Weimeng Wang, Guoping Fu, Weiqiao Zhu et al. · Applied Sciences · 0 citations