We consider fair network topology inference from nodal observations. Real-world networks
often exhibit biased connections based on sensitive nodal attributes. Hence, different …

We propose estimating Gaussian graphical models (GGMs) that are fair with respect to
sensitive nodal attributes. Many real-world models exhibit unfair discriminatory behavior due …