A survey on intelligent Internet of Things: Applications, security, privacy, and future directions
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …
communication technology and offered various customer services. Artificial intelligence (AI) …
Federated learning for medical image analysis: A survey
Abstract Machine learning in medical imaging often faces a fundamental dilemma, namely,
the small sample size problem. Many recent studies suggest using multi-domain data …
the small sample size problem. Many recent studies suggest using multi-domain data …
Federated distillation and blockchain empowered secure knowledge sharing for internet of medical things
With the development of Internet of Things (IoT) and Artificial Intelligence (AI) technologies,
smart services have penetrated into every aspect of our daily lives, including the medical …
smart services have penetrated into every aspect of our daily lives, including the medical …
Advancing healthcare informatics for empowering privacy and security through federated learning paradigms
BSP Thummisetti, H Atluri - International Journal of Sustainable …, 2024 - ijsdcs.com
This research paper explores the transformative potential of federated learning in healthcare
informatics, focusing on its pivotal role in balancing advancements with privacy and security …
informatics, focusing on its pivotal role in balancing advancements with privacy and security …
Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: a systematic review
Background Artificial intelligence (AI) and machine learning (ML) models continue to evolve
the clinical decision support systems (CDSS). However, challenges arise when it comes to …
the clinical decision support systems (CDSS). However, challenges arise when it comes to …
Federated learning for the internet-of-medical-things: A survey
VK Prasad, P Bhattacharya, D Maru, S Tanwar… - Mathematics, 2022 - mdpi.com
Recently, in healthcare organizations, real-time data have been collected from connected or
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …
Federated semi-supervised learning for medical image segmentation via pseudo-label denoising
Distributed big data and digital healthcare technologies have great potential to promote
medical services, but challenges arise when it comes to learning predictive model from …
medical services, but challenges arise when it comes to learning predictive model from …
FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN
Digital technologies present unrivaled opportunities to improve healthcare services
worldwide. Medical devices and hospitals are now using innovative techniques to diagnose …
worldwide. Medical devices and hospitals are now using innovative techniques to diagnose …
Federated learning for medical imaging radiology
MH Rehman, W Hugo Lopez Pinaya… - The British Journal of …, 2023 - academic.oup.com
Federated learning (FL) is gaining wide acceptance across the medical AI domains. FL
promises to provide a fairly acceptable clinical-grade accuracy, privacy, and generalisability …
promises to provide a fairly acceptable clinical-grade accuracy, privacy, and generalisability …
[HTML][HTML] Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
Abstract The Internet of Things (IoT) has revolutionized various sectors by enabling
seamless device interaction. However, the proliferation of IoT devices has also raised …
seamless device interaction. However, the proliferation of IoT devices has also raised …