A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices

Mineto Tsukada, Masaaki Kondo, Hiroki Matsutani

Semi-supervised anomaly detection is an approach to identify anomalies by learning the distribution of normal data. Backpropagation neural networks (i.e., BP-NNs) based approaches…