2019
DOI: 10.1007/978-3-030-24922-9_1
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A Topological Perspective on Distributed Network Algorithms

Abstract: More than two decades ago, combinatorial topology was shown to be useful for analyzing distributed fault-tolerant algorithms in shared memory systems and in message passing systems. In this work, we show that combinatorial topology can also be useful for analyzing distributed algorithms in networks of arbitrary structure. To illustrate this, we analyze consensus, setagreement, and approximate agreement in networks, and derive lower bounds for these problems under classical computational settings, such as the L… Show more

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Cited by 6 publications
(19 citation statements)
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“…We now state the main technical result of the section. It extends the result from Castañeda et al [6] and adapts it to the interpretation of complexes we need here. While Castañeda et al studied the complex given by the interpretation of a single graph (to capture models like LOCAL and CON GEST [25]), we care about the complex resulting of the interpretation of a set of graphs.…”
Section: A Powerful Toolsupporting
confidence: 86%
See 3 more Smart Citations
“…We now state the main technical result of the section. It extends the result from Castañeda et al [6] and adapts it to the interpretation of complexes we need here. While Castañeda et al studied the complex given by the interpretation of a single graph (to capture models like LOCAL and CON GEST [25]), we care about the complex resulting of the interpretation of a set of graphs.…”
Section: A Powerful Toolsupporting
confidence: 86%
“…As before, we start with the simple closed-above case, where the model is the closure of a single graph. In this case the tight lower bound follows from Castañeda et al [6,Thm 5.1], as mentionned above.…”
Section: One Round Lower Bounds For One Round: a Touch Of Topologymentioning
confidence: 71%
See 2 more Smart Citations
“…We now state the main technical result of the section. It extends the result from Castañeda et al [5] and adapts it to the interpretation of complexes we need here. While Castañeda et al studied the complex given by the interpretation of a single graph (to capture models like LOCAL and CONGEST), we care about the complex resulting of the interpretation of a set of graphs.…”
Section: 15 ([H ])supporting
confidence: 86%