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Tse-Chuan Hsu

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#federated learning Open access Oct 2026

A Personalized Federated Autoencoder Framework for IoT Anomaly Detection and Policy-Mediated Firewall Enforcement

Edge protection of heterogeneous Internet of Things (IoT) devices needs per-device behavior models, cross-site learning, and blocking that spares legitimate services. This systems study presents the Personalized Federated Autoencoder Framework (PFAF), deployed on a Raspberry Pi access point. PFAF passively aggregates t...

Tse-Chuan Hsu, Shao-Chien Lin · 0 citations

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