Technical Program

DLN-L.1: Distributed Learning & Optimization: Algorithms

Symposium: Distributed Learning and Optimization over Networks
Session Type: Lecture
Time: Wednesday, November 28, 11:00 - 12:30
Location: Monorail
Session Chair: Fangyu Li, University of Georgia
 
11:00 - 11:18
DLN-L.1.1: NON-ASYMPTOTIC RATES FOR COMMUNICATION EFFICIENT DISTRIBUTED ZEROTH ORDER STRONGLY CONVEX OPTIMIZATION
         Anit Kumar Sahu; Carnegie Mellon University
         Dusan Jakovetic; University of Novi Sad
         Dragana Bajovic; University of Novi Sad
         Soummya Kar; Carnegie Mellon University
 
11:18 - 11:36
DLN-L.1.2: FAST ASYNCHRONOUS DECENTRALIZED OPTIMIZATION: ALLOWING MULTIPLE MASTERS
         Meng Ma; University of Minnesota
         Jineng Ren; University of Minnesota
         Georgios B. Giannakis; University of Minnesota
         Jarvis Haupt; University of Minnesota
 
11:36 - 11:54
DLN-L.1.3: PROVABLY COMMUNICATION-EFFICIENT ASYNCHRONOUS DISTRIBUTED INFERENCE FOR CONVEX AND NONCONVEX PROBLEMS
         Jineng Ren; University of Minnesota Twin Cities
         Jarvis Haupt; University of Minnesota Twin Cities
 
11:54 - 12:12
DLN-L.1.4: EXACT NONPARAMETRIC DECENTRALIZED ONLINE OPTIMIZATION
         Hrusikesha Pradhan; Indian Institute of Technology Kanpur
         Amrit Singh Bedi; Indian Institute of Technology Kanpur
         Alec Koppel; U.S. Army Research Laboratory
         Ketan Rajawat; Indian Institute of Technology Kanpur