Lower bound for constant-size local certification
Virgina Ard\'evol Mart\'inez, Marco Caoduro, Laurent Feuilloley,, Jonathan Narboni, Pegah Pournajafi, Jean-Florent Raymond

TL;DR
This paper establishes the first non-trivial lower bounds for constant-size local certification in distributed systems, showing limitations of one-bit certifications for certain properties like 3-colorability.
Contribution
It introduces a novel technique based on score, local symmetry, and parity arguments to derive lower bounds for constant-size certifications, a previously unexplored regime.
Findings
One-bit certification cannot certify 3-colorability.
Developed a new technique using score, symmetry, and parity arguments.
Provided an upper bound for a related problem, showing some cases outperform natural bounds.
Abstract
Given a network property or a data structure, a local certification is a labeling that allows to efficiently check that the property is satisfied, or that the structure is correct. The quality of a certification is measured by the size of its labels: the smaller, the better.This notion plays a central role in self-stabilization, because the size of the certification is a lower bound (and often an upper bound) on the memory needed for silent self-stabilizing construction of distributed data structures. From the point of view of distributed computing in general, it is also a measure of the locality of a property (e.g. properties of the network itself, such as planarity). When it comes to the size of the certification labels, one can identify three important regimes: the properties for which the optimal size is polynomial in the number of vertices of the graph, the ones that require only…
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Taxonomy
TopicsDistributed systems and fault tolerance · Advanced biosensing and bioanalysis techniques · Nanocluster Synthesis and Applications
