3 papers
math.OC2025
Strong Global Convergence of the Consensus-Based Optimization Algorithm
Sabrina Bonandin, Konstantin Riedl, Sara Veneruso
Consensus-based optimization (CBO) is a multi-agent metaheuristic derivative-free optimization algorithm that has proven to be capable of globally minimizing nonconvex nonsmooth fu…
cs.LG2024
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization
Nicolás García Trillos, Aditya Kumar Akash, Sixu Li +2
Adversarial attacks pose significant challenges in many machine learning applications, particularly in the setting of distributed training and federated learning, where malicious a…
math.OC2024
CBO: Consensus-Based Bi-Level Optimization
Nicolás García Trillos, Sixu Li, Konstantin Riedl +1
Bi-level optimization problems, where one wishes to find the global minimizer of an upper-level objective function over the globally optimal solution set of a lower-level objective…