基于特征多项式的多方集调和

Anudhyan Boral, M. Mitzenmacher
{"title":"基于特征多项式的多方集调和","authors":"Anudhyan Boral, M. Mitzenmacher","doi":"10.1109/ALLERTON.2014.7028589","DOIUrl":null,"url":null,"abstract":"In the standard set reconciliation problem, there are two parties A<sub>1</sub> and A<sub>2</sub>, each respectively holding a set of elements S<sub>1</sub> and S<sub>2</sub>. The goal is for both parties to obtain the union S<sub>1</sub> U S<sub>2</sub>. In many distributed computing settings the sets may be large but the set difference |S<sub>1</sub> - S<sub>2</sub> | +|S<sub>2</sub> - S<sub>1</sub>| is small. In these cases one aims to achieve reconciliation efficiently in terms of communication; ideally, the communication should depend on the size of the set difference, and not on the size of the sets. Recent work has considered generalizations of the reconciliation problem to multi-party settings, using a framework based on a specific type of linear sketch called an Invertible Bloom Lookup Table. Here, we consider multi-party set reconciliation using the alternative framework of characteristic polynomials, which have previously been used for efficient pairwise set reconciliation protocols, and compare their performance with Invertible Bloom Lookup Tables for these problems.","PeriodicalId":330880,"journal":{"name":"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Multi-party set reconciliation using characteristic polynomials\",\"authors\":\"Anudhyan Boral, M. Mitzenmacher\",\"doi\":\"10.1109/ALLERTON.2014.7028589\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the standard set reconciliation problem, there are two parties A<sub>1</sub> and A<sub>2</sub>, each respectively holding a set of elements S<sub>1</sub> and S<sub>2</sub>. The goal is for both parties to obtain the union S<sub>1</sub> U S<sub>2</sub>. In many distributed computing settings the sets may be large but the set difference |S<sub>1</sub> - S<sub>2</sub> | +|S<sub>2</sub> - S<sub>1</sub>| is small. In these cases one aims to achieve reconciliation efficiently in terms of communication; ideally, the communication should depend on the size of the set difference, and not on the size of the sets. Recent work has considered generalizations of the reconciliation problem to multi-party settings, using a framework based on a specific type of linear sketch called an Invertible Bloom Lookup Table. Here, we consider multi-party set reconciliation using the alternative framework of characteristic polynomials, which have previously been used for efficient pairwise set reconciliation protocols, and compare their performance with Invertible Bloom Lookup Tables for these problems.\",\"PeriodicalId\":330880,\"journal\":{\"name\":\"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ALLERTON.2014.7028589\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ALLERTON.2014.7028589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

在标准集调和问题中,有两方A1和A2,各自持有一组元素S1和S2。目标是双方都获得联合S1 U S2。在许多分布式计算设置中,集合可能很大,但集合差|S1 - S2 | +|S2 - S1|很小。在这些情况下,我们的目标是在沟通方面实现有效的和解;理想情况下,通信应该取决于集合差的大小,而不是集合的大小。最近的工作考虑了将和解问题概括为多方设置,使用基于称为可逆Bloom查找表的特定类型线性草图的框架。在这里,我们考虑使用特征多项式的替代框架进行多方集协调,该框架先前已用于有效的成对集协调协议,并将其性能与可逆Bloom查找表进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-party set reconciliation using characteristic polynomials
In the standard set reconciliation problem, there are two parties A1 and A2, each respectively holding a set of elements S1 and S2. The goal is for both parties to obtain the union S1 U S2. In many distributed computing settings the sets may be large but the set difference |S1 - S2 | +|S2 - S1| is small. In these cases one aims to achieve reconciliation efficiently in terms of communication; ideally, the communication should depend on the size of the set difference, and not on the size of the sets. Recent work has considered generalizations of the reconciliation problem to multi-party settings, using a framework based on a specific type of linear sketch called an Invertible Bloom Lookup Table. Here, we consider multi-party set reconciliation using the alternative framework of characteristic polynomials, which have previously been used for efficient pairwise set reconciliation protocols, and compare their performance with Invertible Bloom Lookup Tables for these problems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信