FedDrip: Federated Learning With Diffusion-Generated Synthetic Image

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image

In the realm of machine learning in healthcare, federated learning (FL) is often recognized as a practical solution for addressing issues related to data privacy and data distribution. However, many real-world datasets are not identically and independently distributed (non-IID). That is, the data ch...

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Bibliographic Details
Main Authors: Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Federated learning
deep learning
diffusion model
X-ray classification
prompt engineering
non-IID data
Online Access:https://ieeexplore.ieee.org/document/10824802/
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