Federated-Learning-Project
PublicThis 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.
dataprivacyfederated-learninggoogle-colabjupyter-notebookmachine-learningmachine-learning-algorithmsmodel-evaluation-metricsmodel-trainingmodel-training-and-evaluationprivacy-protection
Creat：2023-09-24T00:20:39
Update：2024-09-15T23:45:03
https://colab.research.google.com/github/Aayush711/Federated_Learning/blob/Master/Federated_Learning.ipynb
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