Bridging Theory and Practice: The Path to Computationally Feasible Machine Learning with Fully Homomorphic Encryption
Executive Summary: This report provides a comprehensive analysis of Fully Homomorphic Encryption (FHE) as a transformative technology for privacy-preserving machine learning (PPML). It begins by establishing the cryptographic principles of Read More …