2 papers
cs.LG2025
Federated Learning for Anomaly Detection in Maritime Movement Data
Anita Graser, Axel WeiÃenfeld, Clemens Heistracher +2
This paper introduces M3fed, a novel solution for federated learning of movement anomaly detection models. This innovation has the potential to improve data privacy and reduce comm…
cs.LG2025
Federated Learning and Trajectory Compression for Enhanced AIS Coverage
Thomas Gräupl, Andreas Reisenbauer, Marcel Hecko +6
This paper presents the VesselEdge system, which leverages federated learning and bandwidth-constrained trajectory compression to enhance maritime situational awareness by extendin…