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Superlinear Lower Bounds for Distributed Subgraph Detection

18 November 2017
Orr Fischer
T. Gonen
R. Oshman
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Abstract

In the distributed subgraph-freeness problem, we are given a graph HHH, and asked to determine whether the network graph contains HHH as a subgraph or not. Subgraph-freeness is an extremely local problem: if the network had no bandwidth constraints, we could detect any subgraph HHH in ∣H∣|H|∣H∣ rounds, by having each node of the network learn its entire ∣H∣|H|∣H∣-neighborhood. However, when bandwidth is limited, the problem becomes harder. Upper and lower bounds in the presence of congestion have been established for several classes of subgraphs, including cycles, trees, and more complicated subgraphs. All bounds shown so far have been linear or sublinear. We show that the subgraph-freeness problem is not, in general, solvable in linear time: for any k≥2k \geq 2k≥2, there exists a subgraph HkH_kHk​ such that HkH_kHk​-freeness requires Ω(n2−1/k/(Bk))\Omega( n^{2-1/k} / (Bk) )Ω(n2−1/k/(Bk)) rounds to solve. Here BBB is the bandwidth of each communication link. The lower bound holds even for diameter-3 subgraphs and diameter-3 network graphs. In particular, taking k=Θ(log⁡n)k = \Theta(\log n)k=Θ(logn), we obtain a lower bound of Ω(n2/(Blog⁡n))\Omega(n^2 / (B \log n))Ω(n2/(Blogn)).

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