Privacy-Accuracy Trade-offs in High-Dimensional LASSO under Perturbation Mechanisms
Privacy-Accuracy Trade-offs in High-Dimensional LASSO under Perturbation Mechanisms explores Develops a theoretical framework for privacy-preserving sparse linear regression using approximate message passing to analyze trade-offs in high-dimensional settings.. Commercial viability score: 4/10 in Privacy-Preserving Machine Learning.
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