Edge Computing-Enabled Secure Federated Learning for Anomaly Detection in Industrial IoT Sensor Streams
A federated learning framework to collaboratively develop an anomaly detection model from multiple edge nodes, without sharing the raw sensor data, so that data sovereignty is preserved, and demonstrates that practical, deployable security for federated learning in IIoT is achievable without sacrificing accuracy or res...