Technical Program

RMN-O.1: Distributed Optimization and Resource Management over Networks I

Symposium: Symposium on Distributed Optimization and Resource Management over Networks
Session Type: Oral
Time: Thursday, November 16, 11:00 - 12:30
Location: Mont-Royal
Session Chair: Amir Asif, Concordia University
 
11:00 - 11:18
RMN-O.1.1: DIST-HEDGE: A PARTIAL INFORMATION SETTING BASED DISTRIBUTED NON-STOCHASTIC SEQUENCE PREDICTION ALGORITHM
         Anit Kumar Sahu; Carnegie Mellon University
         Soummya Kar; Carnegie Mellon University
 
11:18 - 11:36
RMN-O.1.2: DECENTRALIZED EFFICIENT NONPARAMETRIC STOCHASTIC OPTIMIZATION
         Alec Koppel; University of Pennsylvania
         Santiago Paternain; University of Pennsylvania
         Cedric Richard; University of Nice Sophia-Antipolis
         Alejandro Ribeiro; University of Pennsylvania
 
11:36 - 11:54
RMN-O.1.3: DECENTRALIZED COMPUTATION OF EFFECTIVE RESISTANCES AND ACCELERATION OF CONSENSUS ALGORITHMS
         Necdet Serhat Aybat; Penn State University
         Mert Gurbuzbalaban; Rutgers University
 
11:54 - 12:12
RMN-O.1.4: A GUARANTEED COST LMI-BASED APPROACH FOR EVENT-TRIGGERED AVERAGE CONSENSUS IN MULTI-AGENT NETWORKS
         Amir Amini; Concordia University
         Arash Mohammadi; Concordia University
         Amir Asif; Concordia University
 
12:12 - 12:30
RMN-O.1.5: CONVERGENCE ANALYSIS OF BELIEF PROPAGATION FOR PAIRWISE LINEAR GAUSSIAN MODELS
         Jian Du; Carnegie Mellon University
         Shaodan Ma; University of Macau
         Yik-Chung Wu; The University of Hong Kong
         Soummya Kar; Carnegie Mellon University
         Jose Moura; Carnegie Mellon University