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Xiaolin Chang

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2026

Sem-DRL: Network-Aware Continuous Reinforcement Learning for Malicious Semantic Routing in 6G Networks

The evolution of 6G networks from bit-oriented transmission to semantic communication renders communication systems vulnerable to emerging security threats targeting information interpretation, specifically semantic distortion. Consequently, identifying critical attack paths is essential for understanding and mitigatin...

Pengyu Chen, Yuehan Dong, Ya-Lun Wu et al. · 0 citations
#federated learning 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.

Wei-Meng Wang, Guoping Fu, Wei-Qiao Zhu et al. · 0 citations

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