Abstract: This paper proposes a new global model aggregation method based on using zero-knowledge federated learning (ZKFL). The purpose is to secure horizontal or P2P federated machine learning ...
The final model accurately predicted sepsis in internal (AUC=0.812) and external (AUC=0.771) tests. Conclusions: We constructed a web-based risk calculator with 8 features based on the CatBoost model ...
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