Privacy-preserving XGBoost inference
Privacy-Preserving XGBoost Inference
AI summary
The research proposes a privacy-preserving XGBoost prediction algorithm, with the goal of letting users submit encrypted queries to a remote machine learning service and decrypt the encrypted results locally after receiving them. The algorithm has been implemented and evaluated on AWS SageMaker, and experimental results show that its efficiency is sufficient for real machine learning production environments.