Enhancing differentially private distributed k-means clustering through data-driven sensitivity calibration and optimized dropout handling

Jong Wook Kim, Sae-Hong Cho. Enhancing differentially private distributed k-means clustering through data-driven sensitivity calibration and optimized dropout handling. Inf. Sci., 744:123362, 2026. [doi]

Abstract

Abstract is missing.