Abstract: This paper addresses the distributed aggregative optimization challenge in uncertain multiple Euler- Lagrange (EL) systems, where each EL agent's local objective function depends on its own ...

Abstract: This article investigates the problem of distributed optimization over multiagent networks with the global objective being the sum of a set of possibly nonconvex functions. Based on recent ...

1 School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China 2 School of Intelligent Systems and Engineering, Sun Yat-sen University, Shenzhen, China This study addresses the ...

We present a joint multi-robot trajectory optimizer that can compute trajectories for tens of robots in aerial swarms within a small fraction of a second. The computational efficiency of our approach ...

One course in optimization (including primal, dual problems, Lagrangian functions), linear algebra, calculus, familiar with real analysis or permission of instructor. Large-scale networks and datasets ...

In this repository, you can find the codes to reproduce the results of the ICML paper Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds. Steps: Run plot_topology.py to plot the ...

StoneZen Capital Consortium, led by Llewellyn Hawthorne, has rolled out a distributed latency optimization framework to ...