Minor Oral: "Distributed Quantile Regression Under Privacy Constraints"

Cezareo Rodriguez, Washington University in Saint Louis

Abstract: In this talk, I will outline two schemes in which K agents can collaborate to perform penalized quantile regression without revealing their data or summary statistics to one another. While outlining these schemes, this talk will also provide overviews for (penalized) quantile regression models, ADMM, and homomorphic encryption.

 

Hosts: Nan Lin & Jose Figueroa-Lopez