wenzhu23333/Federated-Learning
An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
This project helps machine learning engineers and researchers train AI models using federated learning techniques. It takes diverse datasets, potentially distributed across many clients, and outputs a trained, privacy-preserving AI model. The end-user is a machine learning practitioner interested in privacy-preserving model training or distributed learning.
132 stars. No commits in the last 6 months.
Use this if you need to experiment with federated learning using standard datasets like MNIST, CIFAR-10, or FEMNIST in a PyTorch environment.
Not ideal if you require a production-ready federated learning system with advanced security features or support for custom client-server architectures.
Stars
132
Forks
30
Language
Python
License
GPL-3.0
Category
Last pushed
May 20, 2023
Commits (30d)
0
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