FR1.R2.4

Optimal Distributed Quantizer Design for Binary Classification of Conditionally Independent Vector Sources

Sara Zendehboodi, Sorina Dumitrescu, McMaster University, Canada
Session:
Hypothesis Testing 3
Track:
11: Information Theory and Statistics
Location:
Ypsilon I-II-III
Presentation Time:
Fri, 12 Jul, 10:45 - 11:05
Session Chair:
Yuval Kochman, Hebrew University
Presentation
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Discussion
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Session FR1.R2
FR1.R2.1: An Improved Upper Bound for Distributed Hypothesis Testing
Yuval Kochman, HUJI, Israel
FR1.R2.2: Practical Short-Length Coding Schemes for Binary Distributed Hypothesis Testing
Elsa Dupraz, Ismaila Salihou Adamou, IMT Atlantique, France; Reza Asvadi, Shahid Beheshti University, Iran; Tad Matsumoto, Japan Advanced Institute of Science and Technology, Japan
FR1.R2.3: Sample Complexity of Locally Differentially Private Quantum Hypothesis Testing
Hao-Chung Cheng, National Taiwan University, Taiwan; Christoph Hirche, Technical University of Munich, Germany; Cambyse Rouzé, Institut Polytechnique de Paris, France
FR1.R2.4: Optimal Distributed Quantizer Design for Binary Classification of Conditionally Independent Vector Sources
Sara Zendehboodi, Sorina Dumitrescu, McMaster University, Canada
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