Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …
revolutionized the traditional healthcare system into a smart healthcare system by using …
A privacy-preserving medical data sharing scheme based on blockchain
With the increasing penetration of the Internet of things (IoT) into people's lives, the
limitations of traditional medical systems are emerging. First, the typical way of handling …
limitations of traditional medical systems are emerging. First, the typical way of handling …
A comprehensive review on variants of SARS-CoVs-2: Challenges, solutions and open issues
SARS-CoV-2 is an infected disease caused by one of the variants of Coronavirus which
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …
Blockchain-based decentralized and lightweight anonymous authentication for federated learning
Federated learning (FL) is a promising technology for achieving privacy-preserving edge
intelligence and has attracted extensive attention from industry and academia. However, in …
intelligence and has attracted extensive attention from industry and academia. However, in …
Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review
S Messinis, N Temenos, NE Protonotarios… - Computers in Biology …, 2024 - Elsevier
Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …
A review of secure federated learning: privacy leakage threats, protection technologies, challenges and future directions
L Ge, H Li, X Wang, Z Wang - Neurocomputing, 2023 - Elsevier
Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
Decentralized and distributed learning for AIoT: A comprehensive review, emerging challenges and opportunities
The advent of the Artificial Intelligent Internet of Things (AIoT) has sparked a revolution in the
deployment of intelligent systems, driving the need for innovative data processing …
deployment of intelligent systems, driving the need for innovative data processing …
Feel: Federated learning framework for elderly healthcare using edge-iomt
Recent advancements in artificial intelligence (AI) and IoT technology have revolutionized
the healthcare industry by providing effective remote healthcare. Furthermore, with the aging …
the healthcare industry by providing effective remote healthcare. Furthermore, with the aging …
Wrist-based electrodermal activity monitoring for stress detection using federated learning
With the most recent developments in wearable technology, the possibility of continually
monitoring stress using various physiological factors has attracted much attention. By …
monitoring stress using various physiological factors has attracted much attention. By …