Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

T Shaik, X Tao, N Higgins, L Li… - … : Data Mining and …, 2023 - Wiley Online Library
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 …

Blockchain-empowered federated learning: Challenges, solutions, and future directions

J Zhu, J Cao, D Saxena, S Jiang, H Ferradi - ACM Computing Surveys, 2023 - dl.acm.org
Federated learning is a privacy-preserving machine learning technique that trains models
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

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
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 …

[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 …

IoMT: A COVID-19 healthcare system driven by federated learning and blockchain

O Samuel, AB Omojo, AM Onuja… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
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 …

Secure federated learning with fully homomorphic encryption for iot communications

NM Hijazi, M Aloqaily, M Guizani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Things (IoT) has revolutionized people's daily lives,
providing superior quality services in cognitive cities, healthcare, and smart buildings …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
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 …

A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects

T Shakeel, S Habib, W Boulila, A Koubaa… - Complex & intelligent …, 2023 - Springer
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …

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 …