Broadcasting in random recursive dags
Machine Learning
2025-02-05 v3 Machine Learning
Social and Information Networks
Abstract
A uniform -{\sc dag} generalizes the uniform random recursive tree by picking parents uniformly at random from the existing nodes. It starts with ''roots''. Each of the roots is assigned a bit. These bits are propagated by a noisy channel. The parents' bits are flipped with probability , and a majority vote is taken. When all nodes have received their bits, the -{\sc dag} is shown without identifying the roots. The goal is to estimate the majority bit among the roots. We identify the threshold for as a function of below which the majority rule among all nodes yields an error with . Above the threshold the majority rule errs with probability .
Cite
@article{arxiv.2306.01727,
title = {Broadcasting in random recursive dags},
author = {Simon Briend and Luc Devroye and Gabor Lugosi},
journal= {arXiv preprint arXiv:2306.01727},
year = {2025}
}