{"title":"Fuzzy Linear Regression for Horizontally Partitioned Data","authors":"V. Gisin, E. Volkova","doi":"10.1109/scm55405.2022.9794870","DOIUrl":null,"url":null,"abstract":"The paper considers a situation when data for estimating a fuzzy linear regression is distributed horizontally between several clients. The regression should be estimated using the entire data set preserving the privacy of each client’s data. A protocol based on a transformational approach is proposed.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scm55405.2022.9794870","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
The paper considers a situation when data for estimating a fuzzy linear regression is distributed horizontally between several clients. The regression should be estimated using the entire data set preserving the privacy of each client’s data. A protocol based on a transformational approach is proposed.
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