A PySyft-backed federated Random Forest with weighted tree sampling keeps predictive accuracy within 9% of centralized training on two healthcare datasets.
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A Federated Random Forest Solution for Secure Distributed Machine Learning
A PySyft-backed federated Random Forest with weighted tree sampling keeps predictive accuracy within 9% of centralized training on two healthcare datasets.