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Differentially private clustering for large-scale datasets

Google Research AI blog

At its core, clustering consists of the following problem: given a set of data elements, the goal is to partition the data elements into groups such that similar objects are in the same group, while dissimilar objects are in different groups. When clustering is applied to personal data (e.g., Source , rights: CC-BY-SA-4.0