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A Federated Benchmark for Clinical Natural Language Processing (FedDRAGON)

Bendik S Abrahamsen¹, Joeran S Bosma², Henkjan Huisman²

¹Norwegian University of Science and Technology, Trondheim, Norway.

Studies in Health Technology and Informatics

|May 23, 2026

Abstract

None:

We introduce the FedDRAGON challenge, a federated learning benchmark for clinical natural language processing. The challenge includes 12 information extraction tasks where data is extracted from clinical reports from 4 Dutch care centers. Baseline results show that the performance of the federated models surpass single-center performance and approaches that of centralized models. Benchmark, code, and pre-trained LLMs are publicly available.

Keywords:

Electronic Health Records Federated Learning LLM Large Language Models Named Entity Recognition Natural language processing

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