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Fix pytorch readme formatting (#566)
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Fixes broken readme
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ahellander authored Apr 8, 2024
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Quickstart Tutorial PyTorch (MNIST)
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This classic example of hand-written text recognition is well suited as a lightweight test when developing on FEDn in pseudo-distributed mode.
A normal high-end laptop or a workstation should be able to sustain a few clients.
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- Follow the example in the `Jupyter Notebook <https://github.com/scaleoutsystems/fedn/blob/master/examples/mnist-pytorch/API_Example.ipynb>`__


Automate experimentation with several clients:
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Automate experimentation with several clients
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Now that you have an understanding of the main components of FEDn, you can use the provided docker-compose templates to automate deployment of FEDn and clients.
To start the network and attach 4 clients:
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Access logs and validation data from MongoDB
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You can access and download event logs and validation data via the API, and you can also as a developer obtain
the MongoDB backend data using pymongo or via the MongoExpress interface:

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The credentials are as set in docker-compose.yaml in the root of the repository.

Access model updates
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You can obtain model updates from the 'fedn-models' bucket in Minio:

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