Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction

30 Dec 2018Jayadev AcharyaClément L. CanonneHimanshu Tyagi

Multiple players are each given one independent sample, about which they can only provide limited information to a central referee. Each player is allowed to describe its observed sample to the referee using a channel from a family of channels $\mathcal{W}$, which can be instantiated to capture both the communication- and privacy-constrained settings and beyond... (read more)

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