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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149477
Abstract: Motivated to address the inconsistency between the essential i.i.d. assumption in machine learning theory and the data heterogeneity in real-world applications, we propose a novel calibrated ensemble (CE) algorithm to facilitate learning with diverse data…
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Keywords:
calibrated ensemble;
machine;
data heterogeneity;
machine learning ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3161943
Abstract: Nowadays, the Industrial Internet of Things (IIoT) has played an integral role in Industry 4.0 and produced massive amounts of data for industrial intelligence. These data locate on decentralized devices in modern factories. To protect…
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Keywords:
data heterogeneity;
federated learning;
heterogeneity robust;
learning via ... See more keywords
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Published in 2022 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2022.3233574
Abstract: The collection and curation of large-scale medical datasets from multiple institutions is essential for training accurate deep learning models, but privacy concerns often hinder data sharing. Federated learning (FL) is a promising solution that enables…
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Keywords:
data heterogeneity;
federated learning;
self supervised;
medical imaging ... See more keywords
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Published in 2022 at "Biomolecules"
DOI: 10.3390/biom12050628
Abstract: Single-particle cryogenic electron microscopy (cryo-EM) has become an indispensable tool to probe high-resolution structural detail of biomolecules. It enables direct visualization of the biomolecules and opens a possibility for averaging molecular images to reconstruct a…
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Keywords:
probing structural;
heterogeneity;
structural perturbation;
data heterogeneity ... See more keywords