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What and Who

Approximate Minimum Directed Spanning Trees under Congestion

Hossein Vahidi
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1  
AG Audience
English

Date, Time and Location

Friday, 18 June 2021
13:00
30 Minutes
Virtual talk
Virtual talk
Saarbrücken

Abstract

The minimum directed spanning tree (MDST) problem has until recently not been studied in distributed computing models. This fundamental task generalizes the well-studied minimum spanning tree problem, by asking for a minimum weight spanning tree rooted at some specified node of a directed network. In their DISC 2019 paper, Fischer and Oshman reduce the MDST problem to the single-source shortest path (SSSP) problem, with a polylogarithmic increase in running time. This holds both in the Congest and Congested Clique models.


Fischer and Oshman further suggest the possibility that an approximate SSSP algorithm could be leveraged in computing an approximate MDST. We extend their analysis to show that this is indeed the case: For \varepsilon >0, using a (1+\varepsilon)-approximation to SSSP running in R rounds we can compute a (1+\varepsilon )-approximate MDST in \tilde{O}(R) rounds.\footnote{$\tilde{O}$-notation neglects polylogarithmic factors in the number $n$ of nodes in the graph.} In particular, this implies the following improvements in the state of the art for $(1+o(1))$-approximation of MDST.
An \tilde{O}(n^{1-2/\omega+o(1)}) \subset \tilde{O}(n^{0.158})-round Congested Clique algorithm, where \omega<2.373 is the fast matrix multiplication exponent.

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Meeting ID: 527 278 8807

Note: for people outside D1 interested in listening to this talk, please contact Sándor Kisfaludi-Bak at skisfalu@mpi-inf.mpg.de for the password.

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Sándor Kisfaludi-Bak
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Join Zoom Meeting
Meeting ID: 527 278 8807

Note: for people outside D1 interested in listening to this talk, please contact Sándor Kisfaludi-Bak at skisfalu@mpi-inf.mpg.de for the password.

Sándor Kisfaludi-Bak, 06/16/2021 11:32 -- Created document.