A unifying system theory framework for distributed optimization and games

G Carnevale, N Mimmo, G Notarstefano - arXiv preprint arXiv:2401.12623, 2024 - arxiv.org
This paper introduces a systematic methodological framework to design and analyze
distributed algorithms for optimization and games over networks. Starting from a centralized …

A deep learning approach for distributed aggregative optimization with users' Feedback

R Brumali, G Carnevale… - 6th Annual Learning for …, 2024 - proceedings.mlr.press
We propose a novel distributed data-driven scheme for online aggregative optimization, ie,
the framework in which agents in a network aim to cooperatively minimize the sum of local …