{"title":"分布式计算第85列弹性一致性","authors":"Dan Alistarh","doi":"10.1145/3544979.3544990","DOIUrl":null,"url":null,"abstract":"Overview. In this column, we attempt to cover a new and exciting area in distributed computing, that is, distributed and parallel machine learning. Together with my students Giorgi Nadiradze and Ilia Markov, I share an expository version of a recent conference paper [30] which attempts to provide a \"consistency condition\" for optimization problems which appear in distributed computing and machine learning applications.","PeriodicalId":387985,"journal":{"name":"ACM SIGACT News","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed Computing Column 85 Elastic Consistency\",\"authors\":\"Dan Alistarh\",\"doi\":\"10.1145/3544979.3544990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Overview. In this column, we attempt to cover a new and exciting area in distributed computing, that is, distributed and parallel machine learning. Together with my students Giorgi Nadiradze and Ilia Markov, I share an expository version of a recent conference paper [30] which attempts to provide a \\\"consistency condition\\\" for optimization problems which appear in distributed computing and machine learning applications.\",\"PeriodicalId\":387985,\"journal\":{\"name\":\"ACM SIGACT News\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGACT News\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3544979.3544990\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGACT News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3544979.3544990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Overview. In this column, we attempt to cover a new and exciting area in distributed computing, that is, distributed and parallel machine learning. Together with my students Giorgi Nadiradze and Ilia Markov, I share an expository version of a recent conference paper [30] which attempts to provide a "consistency condition" for optimization problems which appear in distributed computing and machine learning applications.
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