Technical Program

MA1: Distributed Learning and Optimization over Networks

Session Type: Lecture
Time: Monday, December 16, 17:00 - 18:40
Location: Salle Fort Royal
Session Chair: Stefan Vlaski, École Polytechnique Fédérale de Lausanne
 
MA1.1: DISTRIBUTED CHANGE DETECTION IN STREAMING GRAPH SIGNALS
André Ferrari, Cédric Richard, Louis Verduci, Université Côte d'Azur, France
 
MA1.2: POLYNOMIAL ESCAPE-TIME FROM SADDLE POINTS IN DISTRIBUTED NON-CONVEX OPTIMIZATION
Stefan Vlaski, Ali Sayed, École Polytechnique Fédérale de Lausanne, Switzerland
 
MA1.3: DISTRIBUTED ROBUST BAYESIAN CLUSTER ENUMERATION CRITERION FOR UNSUPERVISED LEARNING
Yani Zhang, Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
 
MA1.4: DISTRIBUTED GLOBAL OPTIMIZATION BY ANNEALING
Brian Swenson, Princeton University, United States; Soummya Kar, Carnegie Mellon University, United States; H. Vincent Poor, Princeton University, United States; Jose M. F. Moura, Carnegie Mellon University, United States
 
MA1.5: PAC LEARNING FROM DISTRIBUTED DATA IN THE PRESENCE OF MALICIOUS NODES
Zhixiong Yang, Waheed Bajwa, Rutgers University–New Brunswick, United States