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Implementing 2D Classification Model with MedNIST Dataset Using FEDn
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This example provides a step-by-step guide to deploying and running a 2D classification model using the MedNIST dataset in a federated environment with the `FEDn framework <https://www.scaleoutsystems.com/framework>`__ developed by `Scaleout Systems <https://www.scaleoutsystems.com/>`__ . This example builds on the centralized `example <https://github.com/Project-MONAI/tutorials/blob/main/2d_classification/mednist_tutorial.ipynb>`__ from the MonAI project and adapts it for federated learning settings, utilizing the same code for ease of transition.

The FEDn framework supports researchers with its robust `open-source SDK <https://fedn.readthedocs.io/en/stable/quickstart.html>`__ and a `public SaaS platform <https://fedn.readthedocs.io/en/stable/studio.html>`__ , enabling scalable and efficient federated learning use cases.

Getting Started
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For a step-by-step example guide, click `here <https://github.com/scaleoutsystems/fedn/tree/master/examples/monai-2D-mednist>`__ .

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