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Type: BOOK - Published: 2024-06-10 - Publisher: Elsevier
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Pages: 189
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Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? T
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This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. Th
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Pages: 413
Type: BOOK - Published: 2023-12-18 - Publisher: IGI Global
The Healthcare sector is evolving with Healthcare 5.0, promising better patient care and efficiency. However, challenges like data security and analysis arise d
Language: en
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Pages: 308
Type: BOOK - Published: 2023-06-16 - Publisher: CRC Press
This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It