{"title":"Set reconciliation with an inaccurate oracle","authors":"Mark Bilinski, Ryan Gabrys","doi":"10.1109/ICCNC.2017.7876279","DOIUrl":null,"url":null,"abstract":"In this work, we consider a variant of the set reconciliation problem where the estimate for the size of the symmetric difference may be inaccurate. Given this setup, we propose a new method to reconciling sets of data and we then compare our method to the Invertible Bloom Filter approach proposed by Eppstein et al. [2].","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing, Networking and Communications (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNC.2017.7876279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, we consider a variant of the set reconciliation problem where the estimate for the size of the symmetric difference may be inaccurate. Given this setup, we propose a new method to reconciling sets of data and we then compare our method to the Invertible Bloom Filter approach proposed by Eppstein et al. [2].
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