42 citations · 45 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…
MobilityDL: A Review of Deep Learning From Trajectory Data
Anita Graser, Anahid Jalali, Jasmin Lampert +2
Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so ha…