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...