Tag: First-Order Methods
All the articles with the tag "First-Order Methods".
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Differentially Private Bilevel Optimization
This paper introduces the first differentially private first-order algorithms for bilevel optimization, ensuring privacy with theoretical convergence guarantees for hypergradient norms in both empirical and population settings while avoiding Hessian computations.