SS9.2
Toward Understanding the Improved Robustness to Initialization in Distributed Clustering
Aleksandar Armacki, Soummya Kar, Carnegie Mellon University, United States
Session:
SS9: Social Learning and Decision-Making over Graphs Lecture
Track:
Special Sessions
Location:
Teatro del Sole
Presentation Time:
Wed, 10 Sep, 11:20 - 11:40 Italy Time (UTC +2)
Session Chair:
Vincenzo Matta, University of Salerno
Presentation
Discussion
Resources
No resources available.
Session SS9
SS9.1: ON THE PERFORMANCE OF SOCIAL LEARNING
Felice Scala, Marco Carpentiero, Vincenzo Matta, University of Salerno, Italy; Ali H. Sayed, École polytechnique fédérale de Lausanne, Switzerland
SS9.2: Toward Understanding the Improved Robustness to Initialization in Distributed Clustering
Aleksandar Armacki, Soummya Kar, Carnegie Mellon University, United States
SS9.3: DECENTRALIZED HIDDEN MARKOV MODELING WITH EQUAL EXIT PROBABILITIES
Dongyan Sui, Haitian Zheng, Siyang Leng, Fudan University, China; Stefan Vlaski, Imperial College London, United Kingdom
SS9.4: Strategic Attacks on Finite-Time Consensus
Orhan Eren Akgün, Thomas Kaminsky, Áron Vékássy, Harvard University, United States; Angelia Nedić, Arizona State University, United States; Stephanie Gil, Harvard University, United States
SS9.5: RISK-AWARE DECENTRALIZED FEDERATED LEARNING WITH INTERMITTENT COMMUNICATIONS
Periklis Theodoropoulos, Christos Mavrokefalidis, Kostas Berberidis, University of Patras, Greece