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Add a blog post about privacy preserving ML, with sklearn, federated … #173
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Is there a reason to use MNIST for this demo? It feels like a very general dataset and I'm wondering if there's a better dataset for the point that you're making. Maybe something where it is clear that privacy could be at stake?
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this one is for the author, @andrei-stoian-zama
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We moved from MNIST that you didn't like to Breast Cancer, which is indeed a better dataset for PPML
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Fine with you to resolve this conversation?
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I'm curious about the internals of this
.compile
step? Could you share a diagram with a brief explainer of what might go wrong if one doesn't run that line?There was a problem hiding this comment.
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ok we'll explain: if one does not compile, the model stays in the clear, no FHE :)
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Is it sufficient now (with in particular an image)? Else, we can link to https://docs.zama.ai/concrete-ml/advanced-topics/compilation#compilation-to-fhe, but it's more complicated and maybe a bit out of scope for this blog: your choice, you tell me