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My Asilomar 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)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Technical Program

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

WE1-3: Decentralized Optimization

Session Type: Virtual
Time: Wednesday, November 4, 10:00 - 11:20
Location: Room 3
Session Chair: Anit Kumar Sahu, Bosch Center for AI
 
  WE1-3-1: FEDPD: A FEDERATED LEARNING FRAMEWORK WITH OPTIMAL RATES AND ADAPTIVITY TO NON-IID DATA
         Xinwei Zhang; University of Minnesota
         Mingyi Hong; University of Minnesota
         Sairaj Dhople; University of Minnesota
         Wotao Yin; UCLA
         Yang Liu; Webank
 
  WE1-3-2: PUSH-SUM, GEOMETRIC AVERAGE OF GAUSSIANS, AND MIXING TANKS
         Cesar Uribe; MIT
 
  WE1-3-3: EXPLORING THE ERROR-RUNTIME TRADE-OFF IN DECENTRALIZED OPTIMIZATION
         Jianyu Wang; Carnegie Mellon University
         Anit Kumar Sahu; Amazon Alexa AI
         Gauri Joshi; Carnegie Mellon University
         Soummya Kar; Carnegie Mellon University
 
  WE1-3-4: SECOND-ORDER GUARANTEES IN FEDERATED LEARNING
         Stefan Vlaski; EPFL
         Elsa Rizk; EPFL
         Ali Sayed; EPFL