XGBoost (https://github.com/dmlc/xgboost) is an open-source project that implements machine learning algorithms under the Gradient Boosting framework. It is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. This implementation uses MPI (message passing interface) for client communication and synchronization.
MPI requires the underlying communication network to be perfect - a single message drop causes the training to fail.
This is usually achieved via a highly reliable special-purpose network like NCCL.
The open-source XGBoost supports federated paradigm, where clients are in different locations and communicate with each other with gRPC over internet connections.
We introduce federated XGBoost with NVFlare for a more reliable federated setup.
.. toctree:: :maxdepth: 1 federated_xgboost/implementation federated_xgboost/timeout