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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
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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.

MO3-1: Machine Learning for Wireless Resource Allocation

Session Type: Virtual
Time: Monday, November 2, 14:50 - 16:30
Location: Room 1
Session Chairs: Alejandro Ribeiro, University of Pennsylvania and Mark Eisen, Intel
 
  MO3-1-1: DEEP LEARNING FOR SCALABLE WIRELESS RESOURCE ALLOCATION: WHICH MODEL TO USE?
         Yifei Shen; The Hong Kong University of Science and Technology
         Jun Zhang; The Hong Kong Polytechnic University
         Shenghui Song; The Hong Kong University of Science and Technology
         B. Khaled Letaief; The Hong Kong University of Science and Technology
 
  MO3-1-2: IMPORTANCE- AND CHANNEL-AWARE SCHEDULING IN CELLULAR FEDERATED EDGE LEARNING
         Jinke Ren; Zhejiang University
         Yinghui He; Zhejiang University
         Dingzhu Wen; The University of Hong Kong
         Guanding Yu; Zhejiang University
         Kaibin Huang; The University of Hong Kong
         Dongning Guo; Northwestern University
 
  MO3-1-3: DECENTRALIZED WIRELESS RESOURCE ALLOCATION WITH GRAPH NEURAL NETWORKS
         Zhiyang Wang; University of Pennsylvania
         Mark Eisen; Intel Corporation
         Alejandro Ribeiro; University of Pennsylvania
 
  MO3-1-4: A COMBINATORIAL BANDIT APPROACH TO UAV-AIDED EDGE COMPUTING
         Bochun Wu; Fudan University
         Tianyi Chen; Rensselaer Polytechnic Institute
         Xin Wang; Fudan University