Confidential On-Chain Computation: A Framework for Practical Implementation with Fully Homomorphic Encryption (FHE)

Part 1: Foundations of Fully Homomorphic Encryption for Blockchain 1.1. Introduction: The Blockchain Privacy Paradox and the Promise of FHE Public blockchain networks, such as Ethereum, offer a revolutionary model Read More …

Bridging Theory and Practice: The Path to Computationally Feasible Machine Learning with Fully Homomorphic Encryption (FHE)

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 …