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
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MA1.1: DISTRIBUTED CHANGE DETECTION IN STREAMING GRAPH SIGNALS |
André Ferrari, Cédric Richard, Louis Verduci, Université Côte d'Azur, France |
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MA1.2: POLYNOMIAL ESCAPE-TIME FROM SADDLE POINTS IN DISTRIBUTED NON-CONVEX OPTIMIZATION |
Stefan Vlaski, Ali Sayed, École Polytechnique Fédérale de Lausanne, Switzerland |
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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 |
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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 |
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MA1.5: PAC LEARNING FROM DISTRIBUTED DATA IN THE PRESENCE OF MALICIOUS NODES |
Zhixiong Yang, Waheed Bajwa, Rutgers University–New Brunswick, United States |
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