most citedFederated Learning for Anomaly Detection in Maritime Movement Data

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025★ 3 cited

Federated Learning for Anomaly Detection in Maritime Movement Data

Anita Graser, Axel Weißenfeld, 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…