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ZiyueXu77
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Mar 17, 2025
| "source": [ | ||
| "The beauty of working with NVFlare is that you can quickly adjust the model architecture or job parameters. All you need to do is edit the contents inside the pre-configured job files.\n", | ||
| "\n", | ||
| "For example, you can open a new tab in Jupyter Notebook to edit the model file or the config file. This allows you to change things like the architecture of your model, learning rate, batch size, and more, directly within the notebook." |
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shall we add another exp after the first one to show how easy it is to use another model?
"Now lets make some modifications to our model and try the new one out"
"cp /tmp/nvflare/workspaces/edge_example/prod_00/admin@nvidia.com/transfer/cifar_10_mobile_et /tmp/nvflare/workspaces/edge_example/prod_00/admin@nvidia.com/transfer/cifar_10_mobile_et_mod"
add an fc layer and save
"submit_job cifar_10_mobile_et_mod"
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Main point is no change needed at device side
ZiyueXu77
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Mar 17, 2025
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Looks good! One comment about showing how easy it is to switch to a different model
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Description
Update code and add notebook for demo video
Types of changes
./runtest.sh.