Efficient Pruning for Machine Learning Under Homomorphic Encryption

Ehud Aharoni, Moran Baruch, Pradip Bose +8

Privacy-preserving machine learning (PPML) solutions are gaining widespread popularity. Among these, many rely on homomorphic encryption (HE) that offers confidentiality of the mod…