⁠When Data Can't Meet: Estimating Correlation Across Privacy Barriers

TL;DR

We consider the problem of estimating the correlation of two random variables $X$ and $Y$, where the pairs $(X,Y)$ are not observed together, but are instead separated co-ordinate-wise at two servers:…

Opening excerpt from the authors’ abstract. source