3 papers
cs.LG2026
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…
stat.ML2025
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…
math.OC2024
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…