FedDP-KMeans is a federated, differentially private k-means algorithm whose server-data-based initialization yields exponential convergence to true clusters on separated Gaussian mixtures.
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Differentially Private Federated $k$-Means Clustering with Server-Side Data
FedDP-KMeans is a federated, differentially private k-means algorithm whose server-data-based initialization yields exponential convergence to true clusters on separated Gaussian mixtures.