Collective learning allows multiple models or agents to learn collaboratively while maintaining data privacy, sharing insights without exposing sensitive information, thereby enhancing overall knowledge acquisition across networks.
Federated learning
Researchers, Developers
Data privacy concerns limit individual learning opportunities.
A healthcare consortium uses collective learning techniques to develop predictive models without sharing patient data directly among institutions.
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