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#machine learning Preprint Sep 2026

Optimal Networks for Agentic Information Aggregation

We study information aggregation in the networked learning model introduced by Kearns, Roth, and Ryu (SODA 2026). There is a fixed distribution over $d$ features and a common label. Agents learn in topological order on a directed acyclic graph. Each observes a subset of the features and its parents'predictions, fits a...

M. Bateni, Z. Hadizadeh, Mohammadtaghi Hajiaghayi et al. · 0 citations

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