{"title":"BlockML","authors":"Andrea Merlina","doi":"10.1145/3366624.3368156","DOIUrl":null,"url":null,"abstract":"The computation required by permissionless blockchains to securely moderate the block proposal rate is wasteful both in terms of energy and computation. We present BlockML, an alternative system that replaces Bitcoin's crypto puzzle with the training of Machine Learning (ML) models, providing a useful side product to the consensus protocol of permissionless blockchains.","PeriodicalId":376496,"journal":{"name":"Proceedings of the 20th International Middleware Conference Doctoral Symposium","volume":"228 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th International Middleware Conference Doctoral Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3366624.3368156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The computation required by permissionless blockchains to securely moderate the block proposal rate is wasteful both in terms of energy and computation. We present BlockML, an alternative system that replaces Bitcoin's crypto puzzle with the training of Machine Learning (ML) models, providing a useful side product to the consensus protocol of permissionless blockchains.
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