Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis

Alexandros Gkillas, Aris Lalos

Anomaly and missing data constitute a thorny problem in industrial applications. In recent years, deep learning enabled anomaly detection has emerged as a critical direction, howev…