Open challenges and opportunities in federated foundation models towards biomedical healthcare

Open challenges and opportunities in federated foundation models towards biomedical healthcare

Abstract This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) in biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods inc...

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Bibliographic Details
Main Authors: Xingyu Li, Lu Peng, Yu-Ping Wang, Weihua Zhang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BioData Mining
Subjects:
Foundation model
Federated learning
Healthcare
Biomedical
Large language model
Vision language model
Online Access:https://doi.org/10.1186/s13040-024-00414-9
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