Kmeans2026

Our research paper, “Performance analysis of the homomorphic implementation of K-Means using CKKS”, has been published in Discover Applied Sciences. We present a homomorphic implementation of the K-Means clustering algorithm, showing how cluster comparisons and assignments can be computed on encrypted data. Evaluated with both an offline (bootstrapping) and an online (client re-encryption) approach, both achieve 100% accuracy at a substantial computational cost.