Technical Program

MO1-3: Decentralized Learning and Optimization

Session Type: Virtual
Time: Monday, November 2, 10:00 - 11:20
Virtual Session: View on Virtual Platform
Location: Room 3
Session Chair: Andrea Simonetto, IBM
 
MO1-3-1: Learning-based Adaptive Quantization for Communication-efficient Distributed Optimization with ADMM
         Truong X. Nghiem; Northern Arizona University
         Aldo Duarte; Louisiana State University
         Shuangqing Wei; Louisiana State University
 
MO1-3-2: Privacy-Preserving Distributed Learning with NonSmooth Objective Functions
         Fran├žois Gauthier; Norwegian University of Science and Technology
         Cristiano Gratton; Norwegian University of Science and Technology
         Naveen K. D. Venkategowda; Norwegian University of Science and Technology
         Stefan Werner; Norwegian University of Science and Technology
 
MO1-3-3: Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
         Nicola Bastianello; University of Padova
         Andrea Simonetto; IBM Research Ireland
         Ruggero Carli; University of Padova
 
MO1-3-4: Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks
         Hrusikesha Pradhan; Indian Institute of Technology Kanpur
         Amrit Singh Bedi; US Army Research Laboratory, Adelphi
         Alec Koppel; US Army Research Laboratory, Adelphi
         Ketan Rajawat; Indian Institute of Technology Kanpur