3 papers
math.OC2025
Curvature accelerated decentralized non-convex optimization for high-dimensional machine learning problems
Dingran Yi, Fanhao Zeng, Nikolaos M. Freris
We consider distributed optimization as motivated by machine learning in a multi-agent system: each agent holds local data and the goal is to minimize an aggregate loss function ov…
math.OC2024
Communication efficient quasi-Newton distributed optimization based on the Douglas-Rachford envelope
Dingran Yi, Nikolaos M. Freris
We consider distributed optimization in the client-server setting. By use of Douglas-Rachford splitting to the dual of the sum problem, we design a BFGS method that requires minima…
math.OC2022
Distributed optimization on directed graphs based on inexact ADMM with partial participation
Dingran Yi, Nikolaos M. Freris
We consider the problem of minimizing the sum of cost functions pertaining to agents over a network whose topology is captured by a directed graph (i.e., asymmetric communication).…