Federated Learning Detects Anomalies in Maritime Movement Data
Published:Dec 4, 2025 10:08
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The article uses Federated Learning to detect anomalies.”