{"672970":{"#nid":"672970","#data":{"type":"event","title":"CSIP Seminar | Machine Unlearning: Current Challenges and Beyond","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ECenter for Signals and Information Processing (CSIP)\u0026nbsp;Seminar\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Friday, February 23,\u0026nbsp;2024\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;3:00 p.m. - 4:00 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003ECentergy Building 5126.\u0026nbsp;The associated zoom link is:\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/92180566322\u0022 id=\u0022OWA2863be82-4b07-58b3-4fae-86f7e13421d8\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/gatech.zoom.us\/j\/92180566322\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/92180566322\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Eli Chien\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeakers\u0027 Title:\u003C\/strong\u003E Georgia Institute of Technology Postdoctoral Fellow\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESeminar Title:\u003C\/strong\u003E\u0026nbsp;Machine Unlearning: Current Challenges and Beyond\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EWith the adoption of recent laws ensuring the \u201cright to be forgotten\u201d, the problem of machine unlearning has become of significant importance. In this talk, I outline a recent line of my research aimed at tackling the current challenges in theoretical machine unlearning, including the generalization to graph unlearning and non-convex problems. Firstly, I address the challenges of graph unlearning, where removing an edge or node may potentially impact the label predictions of all other nodes. I propose certified graph unlearning, which leveraging the graph analysis to establish certified graph unlearning guarantees. Secondly, I discuss the challenges of extending unlearning methodologies to non-convex problems, where existing methods rely on the strong convexity of the underlying loss. I propose Langevin unlearning, which not only enables us to tackle non-convex problems but also offers a novel perspective of machine unlearning, unveiling its smooth connections to differential privacy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Eli Chien is currently a Postdoctoral Fellow at the Georgia Institute of Technology, working with Professor Pan Li. He obtained his Ph.D. from the University of Illinois, Urbana-Champaign, advised by Professor Olgica Milenkovic. His current research focuses on privacy in machine learning, including machine unlearning and differential privacy, as well as their applications to graph machine learning. His previous research centered on designing better Graph Neural Networks with theoretical guarantees. His work has been primarily published in top-tier machine learning, data mining, and information theory venues, including ICML, NeurIPS, ICLR, Transactions on IT, KDD, TheWebConf, AISTATS, AAAI and more.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEli Chien, Ph.D., a Georgia Tech Postdoctoral Fellow,\u0026nbsp;will present the CSIP Seminar, \u0022Machine Unlearning: Current Challenges and Beyond\u0022 on February 23, 2024.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring Eli Chien, a Georgia Institute of Technology Postdoctoral Fellow"}],"uid":"36558","created_gmt":"2024-02-15 17:47:43","changed_gmt":"2024-02-15 17:52:31","author":"zwiniecki3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-23T15:00:00-05:00","event_time_end":"2024-02-23T16:00:00-05:00","event_time_end_last":"2024-02-23T16:00:00-05:00","gmt_time_start":"2024-02-23 20:00:00","gmt_time_end":"2024-02-23 21:00:00","gmt_time_end_last":"2024-02-23 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Centergy Building 5126","extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[{"id":"192224","name":"CSIP Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EGhazal Kaviani\u003Cbr \/\u003E\r\n\u003Ca href=\u0022gkaviani3@gatech.edu\u0022\u003Egkaviani3@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}