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Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation
We study high-dimensional LASSO under differential privacy via objective perturbation with heterogeneous covariate scales. In practical scenarios, covariates often exhibit diverse scales; however, standard preprocessing is problematic under privacy constraints, as it consumes additional privacy budg
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