Comments (2)
We have not ported the full DP functionality in this "newer" version of the codebase and hopefully, it will be done soon. Apologize for the potential inconvenience :(
We will keep this issue open and keep you posted once we have finished that part. Thanks for your patience!
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We recently refactored the code to PyTorch and the support of differential privacy of Wasserstein loss is, unfortunately, a known open issue in Opacus library. We may find a workaround in the future to support this.
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Related Issues (19)
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