Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
Blockchain-empowered federated learning: Challenges, solutions, and future directions
Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …
across multiple devices holding local data samples without exchanging them. There are …
[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
Blockchain meets federated learning in healthcare: A systematic review with challenges and opportunities
R Myrzashova, SH Alsamhi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Recently, innovations in the Internet of Medical Things (IoMT), information and
communication technologies, and machine learning (ML) have enabled smart healthcare …
communication technologies, and machine learning (ML) have enabled smart healthcare …
[HTML][HTML] IoT: Communication protocols and security threats
A Gerodimos, L Maglaras, MA Ferrag, N Ayres… - Internet of Things and …, 2023 - Elsevier
In this study, we review the fundamentals of IoT architecture and we thoroughly present the
communication protocols that have been invented especially for IoT technology. Moreover …
communication protocols that have been invented especially for IoT technology. Moreover …
IoMT: A COVID-19 healthcare system driven by federated learning and blockchain
Internet of medical things (IoMT) has made it possible to collect applications and medical
devices to improve healthcare information technology. Since the advent of the pandemic of …
devices to improve healthcare information technology. Since the advent of the pandemic of …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
Iot malware analysis using federated learning: A comprehensive survey
M Venkatasubramanian, AH Lashkari, S Hakak - IEEE Access, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has paved the way to a highly connected society where all things
are interconnected and exchanging information has become more accessible through the …
are interconnected and exchanging information has become more accessible through the …
Energy-efficient distributed federated learning offloading and scheduling healthcare system in blockchain based networks
Many disease detection and prevention applications in digital healthcare systems are widely
used but often focus only on prediction and classification, ignoring processing performance …
used but often focus only on prediction and classification, ignoring processing performance …
PPFchain: A novel framework privacy-preserving blockchain-based federated learning method for sensor networks
Abstract Internet of Things (IoT) has been widely used in many smart applications such as
smart cities, smart agriculture, healthcare, industry, etc. In addition, the importance of IoT …
smart cities, smart agriculture, healthcare, industry, etc. In addition, the importance of IoT …