Ignoring what this model architecture could do and just considering what this model does do, why would I (or anyone) want to run this model (locally) to do <insert use-case>? Is it entirely a proof-of-concept for future training on medical data? Are they looking to use this to attempt to ethically justify training on (free-tier) user's personal data via the application of noise to the training data?
malfist|5 months ago
astrange|5 months ago
I think an entire book is a little too large to mask with this method and still end up learning anything.
faangguyindia|5 months ago
porridgeraisin|5 months ago
The whole framing of DP is:
Probability that you reveal private info is same whether or not you train on a particular users data.
It is useful in many cases, but google the product company specifically is going to use it for ads.
floridianfisher|5 months ago