{"id":28385,"date":"2023-10-03T14:13:18","date_gmt":"2023-10-03T18:13:18","guid":{"rendered":"http:\/\/www.bu.edu\/csmet\/?p=28385"},"modified":"2024-06-21T11:30:19","modified_gmt":"2024-06-21T15:30:19","slug":"machine-learning-and-the-data-center-a-dangerous-dead-end","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/csmet\/2023\/10\/03\/machine-learning-and-the-data-center-a-dangerous-dead-end\/","title":{"rendered":"Machine Learning and the Data Center: A Dangerous Dead End"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\" width=\"608\" height=\"402\" id=\"kaltura_player\" src=\"https:\/\/cdnapisec.kaltura.com\/p\/2159741\/embedPlaykitJs\/uiconf_id\/54272102?iframeembed=true&#038;entry_id=1_18pddsc5\" allowfullscreen=\"allowfullscreen\" webkitallowfullscreen=\"webkitallowfullscreen\" mozallowfullscreen=\"mozallowfullscreen\" allow=\"autoplay *; fullscreen *; encrypted-media *\" sandbox=\"allow-downloads allow-forms allow-same-origin allow-scripts allow-top-navigation allow-pointer-lock allow-popups allow-modals allow-orientation-lock allow-popups-to-escape-sandbox allow-presentation allow-top-navigation-by-user-activation\" frameborder=\"0\" title=\"Machine Learning and the Data Center_A Dangerous Dead End\"><\/iframe><\/p>\n<p>Guest Speaker: <a href=\"https:\/\/www.cst.cam.ac.uk\/people\/ndl32\">Dr. Nicholas D. Lane<\/a>, Professor in the Department of Computer Science and Technology at the University of Cambridge and a Fellow at St. John&#8217;s College.<\/p>\n<p><em>Moderated by\u00a0<a href=\"https:\/\/www.bu.edu\/csmet\/profile\/reza-rawassizadeh\/\">Dr. Reza Rawassizadeh,<\/a> Associate Professor of Computer Science<\/em>.<\/p>\n<p>October 23rd, 2023<\/p>\n<p><strong>Abstract: <\/strong>The vast majority of machine learning (ML) occurs today in a data center. But there is a very real possibility that in the (near?) future, we will view this situation similarly to how we now view lead paint, fossil fuels and asbestos: a technological means to an end, that was used for a time because, at that stage, we did not have viable alternatives \u2013 and we did not fully appreciate the negative externalities that were being caused. Awareness of the unwanted side effects of the current ML data center centric paradigm is building. It couples to ML an alarming carbon footprint, a reliance to biased close-world datasets, serious risks to user privacy \u2013 and promotes centralized control by large organizations due to the assumed extreme compute resources. In this talk, I will offer a sketch of preliminary thoughts regarding how a data center free future for ML might come about, and also describe how some of our recent research results and system solutions (including the Flower framework &#8212; http:\/\/flower.dev) might offer a foundation along this path.<\/p>\n<p><strong>Speaker Bio:<\/strong><\/p>\n<p>Nic Lane (http:\/\/niclane.org) is a full Professor in the department of Computer Science and<br \/>\nTechnology, and a Fellow of St. John&#8217;s College, at the University of Cambridge. He also leads the<br \/>\nCambridge Machine Learning Systems Lab (CaMLSys &#8212; http:\/\/http:\/\/mlsys.cst.cam.ac.uk\/). Alongside<br \/>\nhis academic appointments, Nic is the co-founder and Chief Science Officer of Flower Labs<br \/>\n(https:\/\/flower.dev\/), a venture-backed AI company (YCW23) behind the Flower framework. Nic has<br \/>\nreceived multiple best paper awards, including ACM\/IEEE IPSN 2017 and two from ACM UbiComp<br \/>\n(2012 and 2015). In 2018 and 2019, he (and his co-authors) received the ACM SenSys Test-of-Time<br \/>\naward and ACM SIGMOBILE Test-of-Time award for pioneering research, performed during his PhD<br \/>\nthesis, that devised machine learning algorithms used today on devices like smartphones. Nic was<br \/>\nthe 2020 ACM SIGMOBILE Rockstar award winner for his contributions to \u201cthe understanding of how<br \/>\nresource-constrained mobile devices can robustly understand, reason and react to complex user<br \/>\nbehaviors and environments through new paradigms in learning algorithms and system design.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Guest Speaker: Dr. Nicholas D. Lane, Professor in the Department of Computer Science and Technology at the University of Cambridge and a Fellow at St. John&#8217;s College. Moderated by\u00a0Dr. Reza Rawassizadeh, Associate Professor of Computer Science. October 23rd, 2023 Abstract: The vast majority of machine learning (ML) occurs today in a data center. But [&hellip;]<\/p>\n","protected":false},"author":22903,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10840],"tags":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts\/28385"}],"collection":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/users\/22903"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/comments?post=28385"}],"version-history":[{"count":5,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts\/28385\/revisions"}],"predecessor-version":[{"id":29194,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/posts\/28385\/revisions\/29194"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/media?parent=28385"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/categories?post=28385"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/tags?post=28385"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}