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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| 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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