Title: Metric-privacy-inspired noise calibration in federated learning: Improving convergence and preventing client inference attacks
Authors: Judith Sáinz-Pardo Díaz, Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi, and Álvaro López García
Journal: Knowledge-Based Systems
DOI: https://doi.org/10.1016/j.knosys.2026.115993
Published online: 16 April 2026


