Showing math.OCShow all
2 papers · 1 filter
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…