AI RESEARCH
Federated Concept-Based Models: Interpretable models with distributed supervision
arXiv CS.LG
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ArXi:2602.04093v2 Announce Type: replace Concept-based Models (CMs) enhance interpretability in deep learning by grounding predictions in human-understandable concepts. However, concept annotations are costly and rarely available at scale within a single data source. Federated Learning (FL) could alleviate this limitation by enabling cross-institutional