Differentially Private k-Means Clustering with Convergence Guarantee
Differentially Private k-Means Clustering with Convergence Guarantee
Iterative clustering algorithms help us to learn the insights behind the data. Unfortunately, this may allow adversaries to infer the privacy of individuals with some background knowledge. In the worst case, the adversaries know the centroids of an arbitrary iteration and the information of n-1 out of n items. To …