Graph reconstruction in the congested clique
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Acceso Abierto
Publication date
2020
Abstract
In this paper we study the reconstruction problem in the congested clique model. Given a class of graphs g, the problem is defined as follows: if G is not an element of g, then every node must reject; if G is an element of g, then every node must end up knowing all the edges of G. The cost of an algorithm is the total number of bits received by any node through one link. It is not difficult to see that the cost of any algorithm that solves this problem is Omega(log vertical bar g(n)vertical bar/n), where g(n) is the subclass of all n-node labeled graphs in g. We prove that the lower bound is tight and that it is possible to achieve it with only 2 rounds.
Patrocinador
CONICYT via PIA/Apoyo a Centros Científicos y Tecnológicos de Excelencia
AFB 170001
Comisión Nacional de Investigación Cientifica y Tecnológica (CONICYT)
CONICYT FONDECYT
11190482
1170021
PAI + Convocatoria Nacional Subvención a la Incorporación en la Academia Ano
2017 + PAI77170068
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Artículo de publicación ISI Artículo de publicación SCOPUS
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Journal of Computer and System Sciences 113 (2020) 1–17
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