2 citations · 2 across the 5 of their papers we have counts for
5 papers
Statistical Rates for Entropic Optimal Transport in the Discrete to SubGaussian Regime
Tomas Gonzalez, Gonzalo Mena
We study statistical rates in entropic optimal transport in the semi-discrete regime where one measure has finite support and the other is subGaussian. Our main result establishes…
FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks
Emmanuel Rassou, Tomas Gonzalez
Byzantine-robust federated learning seeks to protect distributed model training from malicious or corrupted clients without requiring access to their private data. FLTrust addresse…
Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity
Diego Martinez-Taboada, Tomas Gonzalez, Aaditya Ramdas
The study of self-normalized processes plays a crucial role in a wide range of applications, from sequential decision-making to econometrics. While the behavior of self-normalized…
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems
Tomás González, Cristóbal Guzmán, Courtney Paquette
We study the problem of differentially-private (DP) stochastic (convex-concave) saddle-points in the setting. We propose -DP algorithms based on stochast…
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
Raman Arora, Raef Bassily, Tomás González +3
We study the problem of approximating stationary points of Lipschitz and smooth functions under -differential privacy (DP) in both the finite-sum and stochastic se…