Technical Program
SPTM-L3: Learning in Distributed Networks |
Session Type: Lecture |
Time: Wednesday, May 29, 08:00 - 10:00 |
Location: Room 109 |
Session Chair: Ali Sayed, Univeristy of California, Los Angeles |
SPTM-L3.1: ADAPTIVE LINK SELECTION STRATEGIES FOR DISTRIBUTED ESTIMATION IN DIFFUSION WIRELESS NETWORKS |
Songcen Xu; University of York |
Rodrigo Caiado de Lamare; The University of York |
H. Vincent Poor; Princeton University |
SPTM-L3.2: DISTRIBUTED INFERENCE OVER REGRESSION AND CLASSIFICATION MODELS |
Zaid Towfic; University of California, Los Angeles |
Jianshu Chen; University of California, Los Angeles |
Ali H. Sayed; University of California, Los Angeles |
SPTM-L3.3: THRESHOLD BEHAVIOR OF EPIDEMICS IN REGULAR NETWORKS |
June Zhang; Carnegie Mellon University |
José M.F. Moura; Carnegie Mellon University |
SPTM-L3.4: A GREEDY SPARSITY–PROMOTING LMS FOR DISTRIBUTED ADAPTIVE LEARNING IN DIFFUSION NETWORKS |
Symeon Chouvardas; University of Athens |
Gerasimos Mileounis; University of Athens |
Nicholas Kalouptsidis; University of Athens |
Sergios Theodoridis; University of Athens |
SPTM-L3.5: A PROXIMAL SPLITTING APPROACH TO REGULARIZED DISTRIBUTED ADAPTIVE ESTIMATION IN DIFFUSION NETWORKS |
Wemer Wee; Tokyo Institute of Technology |
Isao Yamada; Tokyo Institute of Technology |
SPTM-L3.6: DISTRIBUTED INCREMENTAL-BASED LMS FOR NODE-SPECIFIC PARAMETER ESTIMATION OVER ADAPTIVE NETWORKS |
Nikola Bogdanovic; University of Patras |
Jorge Plata-Chaves; University of Patras |
Kostas Berberidis; University of Patras |