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Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems.

Tomás GonzálezCristóbal GuzmánCourtney Paquette
Published in: CoRR (2024)
Keyphrases
  • saddle point
  • differentially private
  • interior point
  • data mining
  • learning algorithm
  • data mining techniques
  • variational inequalities