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Article

Categorical and phenotypic image synthetic learning as an alternative to federated learning.

Nature communications - 23 Oct 2025

Truong Nghi C D, Bangalore Yogananda Chandan Ganesh, Wagner Benjamin C, Holcomb James M, Reddy Divya D, Saadat Niloufar, Bowerman Jason, Hatanpaa Kimmo J, Patel Toral R, Fei Baowei, Lee Matthew D, Jain Rajan, Bruce Richard J, Madhuranthakam Ananth J, Pinho Marco C, Maldjian Joseph A

Abstract excerpt

Multi-center collaborations are crucial in developing robust and generalizable machine learning models in medical imaging. Traditional methods, such as centralized data sharing or federated learning (FL), face challenges, including privacy issues, communication burdens, and synchronization complexities. We present CATegorical and PHenotypic Image SyntHetic learnING (CATphishing), an alternative to FL using Latent...

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PMID: 41130949
DOI: 10.1038/s41467-025-64385-z
PMCID: PMC12550077

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