We are very excited to have invited two machine learning experts to discuss Federated XGBoost from NVIDIA. They have been directly contributing to the DMLC/xgboost repo as well as NVFLARE repo.

This talk will cover the XGBoost algorithm under a federated learning setting. We will discuss how federated XGBoost can be formulated and implemented. Specifically, what’s the distinction between traditional machine learning algorithms like XGBoost as compared with deep learning methods, and how it can impact the decision when we design and implement them. We will show practical examples under NVFlare..