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SPTM-L1: Cooperative Processing over Adaptive Networks

Session Type: Lecture
Time: Tuesday, April 21, 14:30 - 16:30
Location: 4F VIP Room, TICC
Session Chair: Ali Sayed, University of California, Los Angeles
 
  SPTM-L1.1: DIFFUSION LEAST-MEAN SQUARES WITH ADAPTIVE COMBINERS
         Noriyuki Takahashi; Tokyo Institute of Technology
         Isao Yamada; Tokyo Institute of Technology
         Ali H. Sayed; University of California, Los Angeles
 
  SPTM-L1.2: DISTRIBUTED PARAMETER ESTIMATION WITH SELECTIVE COOPERATION
         Stefan Werner; Helsinki University of Technology
         Yih-Fang Huang; University of Notre Dame
         Marcello L. R. de Campos; Federal University of Rio de Janeiro
         Visa Koivunen; Helsinki University of Technology
 
  SPTM-L1.3: LEARNING IN DIFFUSION NETWORKS WITH AN ADAPTIVE PROJECTED SUBGRADIENT METHOD
         Renato Cavalcante; The University of Edinburgh
         Isao Yamada; Tokyo Institute of Technology
         Bernard Mulgrew; The University of Edinburgh
 
  SPTM-L1.4: HIGHER DIMENSIONAL CONSENSUS ALGORITHMS IN SENSOR NETWORKS
         Usman Khan; Carnegie Mellon University
         Soummya Kar; Carnegie Mellon University
         José M. F. Moura; Carnegie Mellon University
 
  SPTM-L1.5: FUNCTIONAL ESTIMATION IN HILBERT SPACE FOR DISTRIBUTED LEARNING IN WIRELESS SENSOR NETWORKS
         Paul Honeine; Université de technologie de Troyes
         Cédric Richard; Université de Technologie de Troyes
         Jose Carlos M. Bermudez; Federal University of Santa Catarina
         Hichem Snoussi; Université de Technologie de Troyes
         Mehdi Essoloh; Université de Technologie de Troyes
         François Vincent; Université de Toulouse
 
  SPTM-L1.6: ON COMBINATIONS OF CMA EQUALIZERS
         Renato Candido; University of Sao Paulo
         Magno Silva; University of Sao Paulo
         Vitor Nascimento; University of Sao Paulo
 

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