Crowds

Real-Word anomaly detection in Surveillance through Semi-supervised Federated Active Learning

This project shows the deployment and research of semi-supervised deep learning models for the anomaly detection in Surveillance videos deployed on a synchronous Federated Learning architecture for which training is being distributed on many nodes.