Detail publikace

Dependency of the Convergence Rate Mean Extent of Variation on the Repetitions Number in Strongly Connected Topologies

KENYERES, M. NOVOTNÝ, B.

Originální název

Dependency of the Convergence Rate Mean Extent of Variation on the Repetitions Number in Strongly Connected Topologies

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the stochastic distributed algorithm – the push-sum protocol. We examine the effect of experiments repetitions on the mean of the convergence rates quantities. The main goal of the executed experiments is to show how many repetitions of the push-sum protocol are necessary to achieve a statistically credible representative of the obtained set of data. Within this paper, we have focused on strongly connected structures.

Klíčová slova

Distributed computing, The push-sum protocol, The convergence rate mean extent of variation

Autoři

KENYERES, M.; NOVOTNÝ, B.

Vydáno

29. 4. 2016

ISBN

978-80-214-5350-0

Kniha

STUDENT EEICT

Strany od

569

Strany do

574

Strany počet

5

BibTex

@inproceedings{BUT123300,
  author="Martin {Kenyeres} and Bohumil {Novotný}",
  title="Dependency of the Convergence Rate Mean Extent of Variation on the Repetitions Number in Strongly Connected Topologies",
  booktitle="STUDENT EEICT",
  year="2016",
  pages="569--574",
  isbn="978-80-214-5350-0"
}