Consensus-based algorithm for distributed convex optimization

AuthorsEhsan Nazemorroaya - Mohsen Shafieirad - Mahdi Majidi
Conference Title4th International Conference on Computational Algebra, Computational Number Theory and Applications (CACNA)
Holding Date of Conference2023-06-04
Event PlaceUniversity of Kashan
Page number1-4
PresentationSPEECH
Conference LevelInternational Conferences

Abstract

In this paper, the distributed convex optimization problem is investigated. A consensus-based algorithm is designed in combination with the gradient descent method. Using the Lyapunov theory, the convergence of this algorithm to the optimal solution is analyzed. In addition to theoretical results, simulation results are presented to state the efficiency of the proposed algorithm.

Paper URL

tags: distributed convex optimization, consensus, gradient descent method