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SS-L6: Distributed Signal Processing and Consensus Gossiping

Session Type: Lecture
Time: Wednesday, April 22, 15:30 - 17:30
Location: Room 102, TICC
Session Chairs: Michael Gastpar, University of California, Berkeley, Anna Scaglione, University of California, Davis and Martin Vetterli, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
 
  SS-L6.1: DISTRIBUTED SUBGRADIENT PROJECTION ALGORITHM FOR CONVEX OPTIMIZATION
         Sundhar Ram Srinivasan; University of Illinois at Urbana-Champaign
         Angelia Nedich; University of Illinois at Urbana-Champaign
         Venugopal Veeravalli; University of Illinois at Urbana-Champaign
 
  SS-L6.2: NEIGHBORHOOD GOSSIP: CONCURRENT AVERAGING THROUGH LOCAL INTERFERENCE
         Bobak Nazer; University of California, Berkeley
         Alexandros G. Dimakis; University of California, Berkeley
         Michael Gastpar; University of California, Berkeley
 
  SS-L6.3: INTERVAL CONSENSUS: FROM QUANTIZED GOSSIP TO VOTING
         Florence Benezit; Ecole Polytechnique Federale de Lausanne
         Patrick Thiran; Ecole Polytechnique Federale de Lausanne
         Martin Vetterli; Ecole Polytechnique Federale de Lausanne
 
  SS-L6.4: THE SPEED OF GREED: CHARACTERIZING MYOPIC GOSSIP THROUGH NETWORK VORACITY
         Deniz Ustebay; McGill University
         Boris Oreshkin; McGill University
         Mark Coates; McGill University
         Michael Rabbat; McGill University
 
  SS-L6.5: A MIXED TIME-SCALE ALGORITHM FOR DISTRIBUTED PARAMETER ESTIMATION : NONLINEAR OBSERVATION MODELS AND IMPERFECT COMMUNICATION
         Soummya Kar; Carnegie Mellon University
         José M. F. Moura; Carnegie Mellon University
 
  SS-L6.6: NETWORK GOSSIP ALGORITHMS
         Devavrat Shah; Massachusetts Institute of Technology
 

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