Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption
arXiv:2604.23245v1 Announce Type: cross
Abstract: The use of Machine Learning (ML) for data-driven decision-making often relies on access to sensitive datasets, which introduces privacy challenges. Traditional encryption methods protect data at rest o…