Differentially Private Coded Federated Linear Regression

Federated Learning (FL) is a distributed learning method, where participants learn a model collaboratively by exchanging information without sharing their ‘raw’ databases. This is of great importance in areas where databases hold private information of individuals, for e.g., healthcare information. In this paper we address two major challenges in FL for Linear Regression models when used on privat...