We consider a cross-silo federated learning (FL) setting where a machine...
In many areas of applied statistics and machine learning, generating an
...
We consider the global minimization of smooth functions based solely on
...
Linear models have shown great effectiveness and flexibility in many fie...
In this paper, we study large-scale convex optimization algorithms based...
We consider learning methods based on the regularization of a convex
emp...