Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis.

ABSTRACT:

Background

The rise of federated learning (FL) as a novel privacy-preserving technology offers the potential to create models collaboratively in a decentralized manner to address confidentiality issues, particularly regarding data privacy. However, there is a scarcity of clear and comprehensive evidence that compares the performance of FL with that of the established centralized machine learning (CML) in the clinical domain.

Objective

This study aimed to review the performance comparisons of FL-based and CML models for mortality prediction in clinical settings.

Methods

Experimental studies comparing the performance of FL and CML in predicting mortality were selected. Articles were excluded if they did not compare FL with CML or only compared the effectiveness of diffe

SUBMITTER: Tahir N 

PROVIDER: S-EPMC12303363 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature