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Federated Learning and Fusion of IoT for Smart Healthcare Applications

Federated Learning and Fusion of IoT for Smart Healthcare Applications

G. Revathy, G. Indirani
Copyright: © 2024 |Pages: 17
ISBN13: 9798369326398|EISBN13: 9798369326404
DOI: 10.4018/979-8-3693-2639-8.ch006
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MLA

Revathy, G., and G. Indirani. "Federated Learning and Fusion of IoT for Smart Healthcare Applications." Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security, edited by Ahdi Hassan, et al., IGI Global, 2024, pp. 67-83. https://doi.org/10.4018/979-8-3693-2639-8.ch006

APA

Revathy, G. & Indirani, G. (2024). Federated Learning and Fusion of IoT for Smart Healthcare Applications. In A. Hassan, V. Prasad, P. Bhattacharya, P. Dutta, & R. Damaševičius (Eds.), Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security (pp. 67-83). IGI Global. https://doi.org/10.4018/979-8-3693-2639-8.ch006

Chicago

Revathy, G., and G. Indirani. "Federated Learning and Fusion of IoT for Smart Healthcare Applications." In Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security, edited by Ahdi Hassan, et al., 67-83. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-2639-8.ch006

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Abstract

Federated learning is also called collaborative learning which uses the decentralized approach to train the machine learning models. Federated learning, a groundbreaking approach in the field of machine learning, has immense potential to transform healthcare as we know it. By harnessing the power of distributed facts from IoT sensors and devices, federated learning enables healthcare providers to train AI models without compromising patient privacy. Key assistances of federated learning in health care are its skill to overcome data sharing limitations. In traditional approaches, sensitive patient data must be centralized for training AI models. However, with federated learning, hospitals and clinics can keep their data secure within their own premises while contributing to a collective intelligence.

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