Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining secure clustering with efficient computation, the study enables accurate customer segmentation while protecting sensitive information, supporting AI-driven marketing… Read More »Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing





