COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data
Clinical insights from real-world data often require aggregating information from institutions to ensure sufficient sample sizes and generalizability. However, patient privacy concerns only limit the sharing of patient-level data, and traditional federated learning algorithms,…
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