Broadcasting in random recursive dags

A uniform k-DAG generalizes the uniform random recursive tree by picking k parents uniformly at random from the existing nodes. It starts with k “roots”. Each of the k roots is assigned a bit. These bits are propagated by a noisy channel. The parents’ bits are flipped with probability p, and a majority vote is taken. When all nodes have received their bits, the k-DAG is shown without identifying the roots. The goal is to estimate the majority bit among the roots. We identify the threshold for p as a function of k below which the majority rule among all nodes yields an error c + o(1) with c < 1/2. Above the threshold the majority rule errs with probability 1/2 + o(1).

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-08
DOI
https://doi.org/10.1051/ps/2025002/pdf
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00
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article

Broadcasting in random recursive dags

Springer Link (Chiba Institute of Technology)
Distributed systems and fault tolerance
article

Broadcasting in random recursive dags

article en

Abstract

A uniform k-DAG generalizes the uniform random recursive tree by picking k parents uniformly at random from the existing nodes. It starts with k “roots”. Each of the k roots is assigned a bit. These bits are propagated by a noisy channel. The parents’ bits are flipped with probability p, and a majority vote is taken. When all nodes have received their bits, the k-DAG is shown without identifying the roots. The goal is to estimate the majority bit among the roots. We identify the threshold for p as a function of k below which the majority rule among all nodes yields an error c + o(1) with c < 1/2. Above the threshold the majority rule errs with probability 1/2 + o(1).

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 51%
Distributed systems and fault tolerance
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Broadcasting in random recursive dags · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS