pytorch / opacus

Training PyTorch models with differential privacy
https://opacus.ai
Apache License 2.0
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added definitions for some required parameters #572

Closed sagerkudrick closed 1 year ago

sagerkudrick commented 1 year ago

added definitions for required parameters target_epsilon, target_delta, epochs. If epochs in make_private_with_epsilon differ from the number of epochs you perform, you'll incorrectly calculate noise level sigma.

Types of changes

Motivation and Context / Related issue

no reference to required parameters in docs

How Has This Been Tested (if it applies)

Checklist

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facebook-github-bot commented 1 year ago

@facebook-github-bot has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

facebook-github-bot commented 1 year ago

@SagerKudrick has updated the pull request. You must reimport the pull request before landing.

facebook-github-bot commented 1 year ago

@SagerKudrick has updated the pull request. You must reimport the pull request before landing.

ffuuugor commented 1 year ago

@SagerKudrick Thanks for your contribution!

Can you please double check that your branch is based on the latest commit in the main branch? I can see you've added latest main commits, but it still shows as "out-of-date with the base branch"

facebook-github-bot commented 1 year ago

@SagerKudrick has updated the pull request. You must reimport the pull request before landing.

sagerkudrick commented 1 year ago

Hey @ffuuugor, this one should be good, sorry about that, I'm a little unfamiliar with this haha.

Thanks!

facebook-github-bot commented 1 year ago

@ffuuugor has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

facebook-github-bot commented 1 year ago

@ffuuugor merged this pull request in pytorch/opacus@8f1e3d3f6df2d7dbe0779600363d3dc12a32aac7.