Technical Program

DLN-L.2: Distributed Learning & Optimization: Applications I

Symposium: Distributed Learning and Optimization over Networks
Session Type: Lecture
Time: Wednesday, November 28, 14:00 - 15:30
Location: Monorail
Session Chair: Mingyi Hong, University of Minnesota
 
14:00 - 14:18
DLN-L.2.1: AN ENERGY-EFFICIENT DISTRIBUTED AVERAGE CONSENSUS SCHEME VIA INFREQUENT COMMUNICATION
         Ping Xu; George Mason University
         Zhi Tian; George Mason University
         Yue Wang; George Mason University
 
14:18 - 14:36
DLN-L.2.2: ON THE CAPACITY OF SECURE DISTRIBUTED FAST FOURIER TRANSFORM
         Wei-Ting Chang; University of Arizona
         Ravi Tandon; University of Arizona
 
14:36 - 14:54
DLN-L.2.3: ENERGY-AWARE SENSOR SCHEDULING IN DISTRIBUTED GAUSSIAN DETECTION
         Hongbin Zhu; ShanghaiTech University
         Kai Kang; Shanghai Advanced Research Institute, CAS
         Xiliang Luo; ShanghaiTech University
         Hua Qian; Shanghai Advanced Research Institute, CAS
 
14:54 - 15:12
DLN-L.2.4: DELAYED WEIGHT UPDATE FOR FASTER CONVERGENCE IN DATA-PARALLEL DEEP LEARNING
         Tetsuya Youkawa; Kobe University
         Haruki Mori; Kobe University
         Yuki Miyauchi; Kobe University
         Kazuki Yamada; Kobe University
         Shintaro Izumi; Kobe University
         Masahiko Yoshimoto; Kobe University
         Hiroshi Kawaguchi; Kobe University
 
15:12 - 15:30
DLN-L.2.5: CONSENSUS OPTIMIZATION FOR DISTRIBUTED REGISTRATION
         Rajat Sanyal; KPMG Advisory Services Private Limited
         Kunal Chaudhury; Indian Institute of Science