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DTSTART:19700308T020000
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DTSTAMP:20260422T000712Z
LOCATION:704-706
DTSTART;TZID=America/Denver:20231117T084000
DTEND;TZID=America/Denver:20231117T091000
UID:submissions.supercomputing.org_SC23_sess465_misc126@linklings.com
SUMMARY:Divide and Conquer:  Scaling AI via Federated Learning and Distrib
 uted Alternatives to Backpropagation
DESCRIPTION:Irina Rish (Université de Montréal (UdeM))\n\nTag: Artificial 
 Intelligence/Machine Learning, Distributed Computing\n\nRegistration Categ
 ory: Workshop Reg Pass\n\nSession Chairs: Eric Lançon (Brookhaven National
  Laboratory); Irina Rish (University of Montreal, Canada; Mila – Quebec AI
  Institute); Georgia Tourassi (Oak Ridge National Laboratory (ORNL)); and 
 Feiyi Wang (Oak Ridge National Laboratory (ORNL))\n\n
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