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Preprint Aug 2026

Optimal Lower Bounds for Networked Information Aggregation

The problem of networked information aggregation, studied in Kearns et al. (2026), involves a group of learners situated on the vertices of a directed acyclic graph $G$, each learning a linear predictor $\widehat Y$ for a fixed random variable $Y$ given access to a local feature, as well as the predictors learnt by its...

Ambar Pal · 0 citations

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