Inference under Information Constraints II: Communication Constraints and Shared Randomness
arXiv: Data Structures and Algorithms, 2019.
A central server needs to perform statistical inference based on samples that are distributed over multiple users who can each send a message of limited length to the center. We study problems of distribution learning and identity testing in this distributed inference setting and examine the role of shared randomness as a resource. We p...More
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