Aayush711/Federated-Learning-Project
This repository contains a project showcasing Federated Learning using the EMNIST dataset. Federated Learning is a privacy-preserving machine learning approach that allows a model to be trained across multiple decentralized devices or servers holding local data samples, without exchanging them.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 24, 2023
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