Personalized and differentially private federated learning for mobility data mining via the TrajectoryGuard framework.

Journal: PloS one •

Abstract

Abstract text is not embedded in this discovery record. Please consult the full-text publication via the source link on the right.

Subjects & Keywords

How to Cite this Article

Alqazzaz A (2026). "Personalized and differentially private federated learning for mobility data mining via the TrajectoryGuard framework.". PloS one. https://doi.org/10.1371/journal.pone.0358703