PRIVEE: Privacy-Preserving Vertical Federated Learning Against Feature Inference Attacks

This article likely presents research on a privacy-focused approach to vertical federated learning, specifically addressing the vulnerability of feature inference attacks. The focus is on protecting sensitive data during the collaborative learning process. The source, ArXiv, indicates this is a research paper.