AI RESEARCH
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
arXiv CS.LG
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ArXi:2507.03122v2 Announce Type: replace-cross This study investigates the feasibility and performance of federated learning (FL) for multi-label ICD code classification using clinical notes from the MIMIC-IV dataset. Unlike previous approaches that rely on centralized