Refined Differentially Private Linear Regression via Extension of a Free Lunch Result
arXiv:2604.11820v1 Announce Type: cross
Abstract: As data-privacy regulations tighten and statistical models are increasingly deployed on sensitive human-sourced data, privacy-preserving linear regression has become a critical necessity. For the add-r…