{"title":"水平分割数据的模糊线性回归","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":"{\"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}","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}
Fuzzy Linear Regression for Horizontally Partitioned Data
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.