<ul data-eligibleForWebStory="true"><li>Federated Item Response Theory (IRT) models integrate federated learning to estimate traditional IRT models with added privacy features.</li><li>This approach allows for distributed estimation without centralized raw response data, addressing privacy concerns and reducing communication costs.</li><li>Numerical experiments show that FedIRT achieves similar accuracy to standard IRT estimation, with the added benefits of privacy protection.</li><li>The framework expands IRT applicability to distributed settings like multi-school assessments and is supported by an open-source R package, FedIRT.</li></ul>

Federated Item Response Theory Models

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