flwr-trees: Federated Learning for Tree Ensembles
An open-source Python library (on PyPI) that trains Random Forest, XGBoost and gradient-boosted tree models across clients using the Flower framework, behind a standard scikit-learn interface. Introduces histogram-based aggregation that cuts the first-round upload by 45–83% on benchmark datasets.
