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   	<dc:title>Wait-free approximate agreement on graphs</dc:title>
   	<dc:creator>Alistarh, Dan-Adrian ; https://orcid.org/0000-0003-3650-940X</dc:creator>
   	<dc:creator>Ellen, Faith</dc:creator>
   	<dc:creator>Rybicki, Joel ; https://orcid.org/0000-0002-6432-6646</dc:creator>
   	<dc:subject>ddc:000</dc:subject>
   	<dc:description>Approximate agreement is one of the few variants of consensus that can be solved in a wait-free manner in asynchronous systems where processes communicate by reading and writing to shared memory. In this work, we consider a natural generalisation of approximate agreement on arbitrary undirected connected graphs. Each process is given a node of the graph as input and, if non-faulty, must output a node such that
– all the outputs are within distance 1 of one another, and
– each output value lies on a shortest path between two input values.
From prior work, it is known that there is no wait-free algorithm among  processes for this problem on any cycle of length , by reduction from 2-set agreement (Castañeda et al., 2018).

In this work, we investigate the solvability of this task on general graphs. We give a new, direct proof of the impossibility of approximate agreement on cycles of length , via a generalisation of Sperner&apos;s Lemma to convex polygons. We also extend the reduction from 2-set agreement to a larger class of graphs, showing that approximate agreement on these graphs is unsolvable. On the positive side, we present a wait-free algorithm for a different class of graphs, which properly contains the class of chordal graphs.</dc:description>
   	<dc:publisher>Elsevier</dc:publisher>
   	<dc:date>2023</dc:date>
   	<dc:type>info:eu-repo/semantics/article</dc:type>
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   	<dc:type>text</dc:type>
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   	<dc:identifier>https://research-explorer.ista.ac.at/record/12566</dc:identifier>
   	<dc:identifier>https://research-explorer.ista.ac.at/download/12566/12570</dc:identifier>
   	<dc:source>Alistarh D-A, Ellen F, Rybicki J. Wait-free approximate agreement on graphs. &lt;i&gt;Theoretical Computer Science&lt;/i&gt;. 2023;948(2). doi:&lt;a href=&quot;https://doi.org/10.1016/j.tcs.2023.113733&quot;&gt;10.1016/j.tcs.2023.113733&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.tcs.2023.113733</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/issn/0304-3975</dc:relation>
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