Artificial data give the same results as real data without compromising privacy
I haven&#x27;t read the original paper (yet), but something doesn&#x27;t sit right with the work, if the way it is portrayed is indeed faithful to it and I&#x27;m not missing something important.<p>- It looks like the work of the data scientists will be limited to the extent of the modeling already done by recursive conditional parameter aggregation. (edit: So why not just ship that model and adapt it instead of using it to generate data?)<p>- Its &quot;validation&quot; appears to be doubly proxied - i.e. the normal performance measures we use are themselves a proxy, and now we&#x27;re comparing those against these performance measures derived from models built out of the data generated by these models. I&#x27;m not inclined to trust a validation that is so removed.<p>Any one who can explain this well?