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- W2022070401 abstract "In this article we investigate randomized binary majority consensus in networks with random topologies and noise. Using computer simulations, we show that asynchronous Simple Majority rule can reach ≃ 100% convergence rate being randomized by an update-biased random neighbor selection and a small fraction of errors. Next, we show that such gains are robust towards additive noise and topology randomization." @default.
- W2022070401 created "2016-06-24" @default.
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- W2022070401 date "2014-04-01" @default.
- W2022070401 modified "2023-09-26" @default.
- W2022070401 title "Efficient binary consensus in randomized and noisy environments" @default.
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- W2022070401 doi "https://doi.org/10.1109/issnip.2014.6827594" @default.
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