Distributed Generalized Linear Models: A Privacy-Preserving Approach

Daniel Tinoco, Raquel Menezes, Carlos Baquero

This paper presents a novel approach to classical linear regression, enabling model computation from data streams or in a distributed setting while preserving data privacy in feder…