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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 …
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 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 …
[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 …
Generative AI for the optimization of next-generation wireless networks: Basics, state-of-the-art, and open challenges
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative Artificial …
significant challenges to using traditional optimization techniques. Generative Artificial …
Federated learning for the internet-of-medical-things: A survey
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 …
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 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 …
Privacy preservation for federated learning in health care
Artificial intelligence (AI) shows potential to improve health care by leveraging data to build
models that can inform clinical workflows. However, access to large quantities of diverse …
models that can inform clinical workflows. However, access to large quantities of diverse …
Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector
with rapid potential proof for decentralised communication systems that have been applied …
with rapid potential proof for decentralised communication systems that have been applied …