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My ICASSP 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
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Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
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TH3.I: Industry Session on Large-Scale Distributed Learning Strategies

Session Type: Lecture
Time: Thursday, 7 May, 16:30 - 18:30
Location: On-Demand
Session Chairs: Xiaodong Cui, IBM and Bhuvana Ramabhadran, Google
 
   TH3.I.1: LOW-RANK GRADIENT APPROXIMATION FOR MEMORY-EFFICIENT ON-DEVICE TRAINING OF DEEP NEURAL NETWORK
         Mary Gooneratne; Duke University
         Khe Chai Sim; Google
         Petr Zadrazil; Google
         Andreas Kabel; Google
         Francoise Beaufays; Google
         Giovanni Motta; Google
 
   TH3.I.2: IMPROVING EFFICIENCY IN LARGE-SCALE DECENTRALIZED DISTRIBUTED TRAINING
         Wei Zhang; IBM
         Xiaodong Cui; IBM
         Abdullah Kayi; IBM
         Mingrui Liu; University of Iowa
         Ulrich Finkler; IBM
         Brian Kingsbury; IBM
         George Saon; IBM
         Youssef Mroueh; IBM
         Alper Buyuktosunoglu; IBM
         Payel Das; IBM
         David Kung; IBM
         Michael Picheny; IBM
 
   TH3.I.3: PARALLELIZING ADAM OPTIMIZER WITH BLOCKWISE MODEL-UPDATE FILTERING
         Kai Chen; Microsoft Research Asia
         Haisong Ding; University of Science and Technology of China
         Qiang Huo; Microsoft Research Asia