Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions

A Rauniyar, DH Hagos, D Jha… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the advent of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning
(ML), and Deep Learning (DL) algorithms, the landscape of data-driven medical applications …

Networking architecture and key supporting technologies for human digital twin in personalized healthcare: A comprehensive survey

J Chen, C Yi, SD Okegbile, J Cai… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …

Metaverse communications, networking, security, and applications: Research issues, state-of-the-art, and future directions

M Ali, F Naeem, G Kaddoum… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Metaverse is an evolving orchestrator of the next-generation Internet architecture that
produces an immersive and self-adapting virtual world in which humans perform activities …

Federated quantum-based privacy-preserving threat detection model for consumer internet of things

D Namakshenas, A Yazdinejad… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) has significantly impacted the evolution of consumer-oriented
smart environments, primarily due to its capacity for transformative device-to-device …

A review of privacy enhancement methods for federated learning in healthcare systems

X Gu, F Sabrina, Z Fan, S Sohail - International Journal of Environmental …, 2023 - mdpi.com
Federated learning (FL) provides a distributed machine learning system that enables
participants to train using local data to create a shared model by eliminating the requirement …

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 …

Fed-inforce-fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks

IA Khan, I Razzak, D Pi, N Khan, Y Hussain, B Li… - Information …, 2024 - Elsevier
Abstract Internet of Medical Things (IoMT) has emerged as a combination of sensors,
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …

A survey on federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

AK Bashir, N Victor, S Bhattacharya… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent technological advancements have considerately improved healthcare systems to
provide various intelligent healthcare services and improve the quality of life. Federated …

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 …

Real-time pneumonia prediction using pipelined spark and high-performance computing

A Ravikumar, H Sriraman - PeerJ Computer Science, 2023 - peerj.com
Background Pneumonia is a respiratory disease caused by bacteria; it affects many people,
particularly in impoverished countries where pollution, unclean living standards …