3 papers
cs.LG2026
A Locally Penalized Cross-Estimate Federated Method with Guarantees for Constrained Personalized Learning
Mohammadjavad Ebrahimi, Daniel Burbano, Farzad Yousefian
Federated learning (FL) is a communication-efficient framework for solving distributed optimization problems. Standard FL methods aggregate local updates into a single global model…
math.OC2025
On iteratively regularized first-order methods for simple bilevel optimization
Sepideh Samadi, Daniel Burbano, Farzad Yousefian
We consider simple bilevel optimization (SBO) problems where the goal is to compute among the optimal solutions of a composite convex optimization problem, one that minimizes a sec…
math.OC2023
Achieving optimal complexity guarantees for a class of bilevel convex optimization problems
Sepideh Samadi, Daniel Burbano, Farzad Yousefian
We design and analyze a novel accelerated gradient-based algorithm for a class of bilevel optimization problems. These problems have various applications arising from machine learn…