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preparing a short readme to push create a PR for the MonAI tutorial.
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13 changes: 13 additions & 0 deletions examples/monai-2D-mednist/README_MonAI_Tutorial.rst
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Implementing 2D Classification Model with MedNIST 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 from the `MonAI project <https://github.com/Project-MONAI/tutorials/blob/main/2d_classification/mednist_tutorial.ipynb>` 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
---------------

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

2 changes: 1 addition & 1 deletion examples/monai-2D-mednist/client/python_env.yaml
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build_dependencies:
- pip
- setuptools
- wheel==0.37.1
- wheel
dependencies:
- torch==2.2.1
- torchvision==0.17.1
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