SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree

Understand

Gradient boosting decision tree (GBDT) is an ensemble machine learning algorithm, which is widely used in industry, due to its good performance and easy interpretation.

• Due to the problem of data isolation and the requirement of privacy, many works try to use vertical federated learning to train machine learning models collaboratively with privacy guarantees between different data owners.
• SecureBoost is one of the most popular vertical federated learning algorithms for GBDT.
• However, in order to achieve privacy preservation, SecureBoost involves complex training procedures and time-consuming cryptography operations.