Effective theory of collective deep learning

Unraveling the emergence of collective learning in systems of coupled artificial neural networks points to broader implications for physics, machine learning, neuroscience, and society. Here we introduce a minimal model of interacting deep neural nets that condenses several recent decentralized algo...

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Bibliographic Details
Main Authors: Lluís Arola-Fernández, Lucas Lacasa
Format: Article
Language:English
Published: American Physical Society 2024-11-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.6.L042040
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