Federated Learning Detects Anomalies in Maritime Movement Data

This ArXiv article explores the application of federated learning for anomaly detection in maritime movement data, which could improve maritime safety and security. The research suggests a novel approach to addressing challenges in data privacy and distributed learning within the maritime industry.