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 |