SKADA is a library for domain adaptation (DA) with a scikit-learn and PyTorch/skorch compatible API with the following features: DA estimators and transformers with a scikit-learn compatible API (fit, ...
This project implements a Federated Random Forest (FRF) using the federated learning library Flower and the sklearn random forest classifier. It is demonstrated through three clients as an example.
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