Cristóbal Guzmán

Exploring the impact of public data on differential privacy in machine learning.

New algorithms enhance privacy in complex optimization tasks.

A look at differential privacy and its application in machine learning.

A look into nonsmooth optimization and its local subgradient variations.

Explore the role of stochastic saddle point problems in recipe optimization and privacy.