MFC: A Multishot Approach to Federated Data Clustering
Jaglike Makkar,
Bhumika,
Shweta Jain
et al.
Abstract:The work explores the federated data clustering problem. The primary goal is to perform k-means clustering of data distributed over multiple clients while preserving privacy during an exchange with the central server. Existing solutions to unsupervised federated data clustering are either computationally challenging or effective only in heterogeneous regimes, i.e., when the number of clusters per client (kz) is less than the total number of clusters (k) (specifically, kz ≤ k). Moreover, existing one-shot appro… Show more
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