Practical Federated Gradient Boosting Decision Trees

Understand

Gradient Boosting Decision Trees (GBDTs) have become very successful in recent years, with many awards in machine learning and data mining competitions.

• There have been several recent studies on how to train GBDTs in the federated learning setting.
• In this paper, we focus on horizontal federated learning, where data samples with the same features are distributed among multiple parties.
• However, existing studies are not efficient or effective enough for practical use.