A Design Method of Distributed Algorithms via Discrete-time Blended Dynamics Theorem
Abstract
We develop a discrete-time version of the blended dynamics theorem for the use of designing distributed computation algorithms. The blended dynamics theorem enables to predict the behavior of heterogeneous multi-agent systems. Therefore, once we get a blended dynamics for a particular computational task, design idea of node dynamics for individual heterogeneous agents can easily occur. In the continuous-time case, prediction by blended dynamics was enabled by high coupling gain among neighboring agents. In the discrete-time case, we propose an equivalent action, which we call multi-step coupling in this paper. Compared to the continuous-time case, the blended dynamics can have more variety depending on the coupling matrix. This benefit is demonstrated with three applications; distributed estimation of network size, distributed computation of the PageRank, and distributed computation of the degree sequence of a graph, which correspond to the coupling by doubly-stochastic, column-stochastic, and row-stochastic matrices, respectively.
Cite
@article{arxiv.2210.05142,
title = {A Design Method of Distributed Algorithms via Discrete-time Blended Dynamics Theorem},
author = {Jeong Woo Kim and Jin Gyu Lee and Donggil Lee and Hyungbo Shim},
journal= {arXiv preprint arXiv:2210.05142},
year = {2023}
}