FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modeling
2.80T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.27856.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryFedEHR-Agents proposes a federated framework where autonomous clinical LLM agents at different hospitals collaborate by sharing modeling experience and meta-prompts rather than patient data, using TextGrad-based prompt refinement and evidence-guided aggregation to improve automated EHR modeling across multi-hospital benchmarks.
Why it mattersFrames experience and prompt sharing as a federation object for multi-agent systems under privacy constraints, a transferable pattern beyond the clinical setting.
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