{"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。
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.