{"title":"Addressing Data Skew Issues in Federated Learning","authors":"D. Verma","doi":"10.1201/9781003027171-5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":119260,"journal":{"name":"Federated AI for Real-World Business Scenarios","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Federated AI for Real-World Business Scenarios","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781003027171-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}