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Federated Learning with TensorFlow Federated 1.2 and Scikit-learn 1.3: A Comparative Study on Privacy-Preserving ML for Healthcare Data
AI Workflows 4 min read

Federated Learning with TensorFlow Federated 1.2 and Scikit-learn 1.3: A Comparative Study on Privacy-Preserving ML for Healthcare Data

Federated learning is a machine learning approach that enables multiple actors to collaborate on model training while maintaining data private. This article explores the use of TensorFlow Federated 1.2 and Scikit-learn 1.3 for federated learning on healthcare data.

NextGenBeing Founder

NextGenBeing Founder

Dec 17, 2025

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federated learning healthcare +2