Blockchain-based federated learning for securing internet of things: A comprehensive survey

W Issa, N Moustafa, B Turnbull, N Sohrabi… - ACM Computing …, 2023 - dl.acm.org
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …

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 …

Federated learning for smart cities: A comprehensive survey

S Pandya, G Srivastava, R Jhaveri, MR Babu… - Sustainable Energy …, 2023 - Elsevier
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

A Rahman, MS Hossain, G Muhammad, D Kundu… - Cluster computing, 2023 - Springer
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …

Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0

SH Alsamhi, AV Shvetsov, S Kumar, J Hassan… - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …

[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 …

Incentive techniques for the internet of things: a survey

PKR Maddikunta, QV Pham, DC Nguyen… - Journal of Network and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey

M Ali, F Naeem, M Tariq… - IEEE journal of biomedical …, 2022 - ieeexplore.ieee.org
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …

Hierarchical federated learning with social context clustering-based participant selection for internet of medical things applications

X Zhou, X Ye, I Kevin, K Wang, W Liang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The proliferation in embedded and communication technologies made the concept of the
Internet of Medical Things (IoMT) a reality. Individuals' physical and physiological status can …

Energy-efficient federated learning over UAV-enabled wireless powered communications

QV Pham, M Le, T Huynh-The, Z Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Since the invention in 2016, federated learning (FL) has been a key concept of artificial
intelligence, in which the data of FL users needs not to be uploaded to the central server …