Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...

Abstract: The selection of stepsizes has always been an elusive task in distributed optimization and learning. Although some stepsize-automation approaches have been proposed in centralized ...

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 ...

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 ...

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 ...

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

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 ...