Welcome to FedTree’s documentation!
FedTree is a federated learning system for tree-based models. It is designed to be highly efficient, effective, and secure. It has the following features.
Parallel computing on multi-core CPUs and GPUs.
Stand-alone simulation and distributed learning.
Support of homomorphic encryption, secure aggregation, and differential privacy.
Federated training algorithms of gradient boosting decision trees and random forests.
