[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 …

[HTML][HTML] Blockchain for healthcare systems: Architecture, security challenges, trends and future directions

J Andrew, DP Isravel, KM Sagayam, B Bhushan… - Journal of Network and …, 2023 - Elsevier
Blockchain has become popular in recent times through its data integrity and wide scope of
applications. It has laid the foundation for cryptocurrencies such as Ripple, Bitcoin …

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 …

A novel framework on security and energy enhancement based on internet of medical things for healthcare 5.0

R Natarajan, GH Lokesh, F Flammini, A Premkumar… - Infrastructures, 2023 - mdpi.com
Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method
of connecting medical equipment and the software that operates on it to the computer …

[HTML][HTML] Amalgamation of Blockchain with resource-constrained IoT devices for Healthcare applications–State of Art, Challenges and Future Directions

P Hegde, PKR Maddikunta - … Journal of Cognitive Computing in Engineering, 2023 - Elsevier
Healthcare is an emerging sector with the integration of emerging technologies aiming to
improve Quality of Life of an individual through various medical services. Most of the …

Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning

RN Asif, A Ditta, H Alquhayz, S Abbas, MA Khan… - IEEE …, 2023 - ieeexplore.ieee.org
In this study, a weighted federated learning approach is proposed for electrocardiogram
(ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data …

[HTML][HTML] Comprehensive systematic review of information fusion methods in smart cities and urban environments

MA Fadhel, AM Duhaim, A Saihood, A Sewify… - Information …, 2024 - Elsevier
Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …

Technoethical Considerations for Advancing Health Literacy and Medical Practice: A Posthumanist Framework in the Age of Healthcare 5.0

MB Garcia, PS Garcia, RR Maaliw… - … for Health Literacy …, 2024 - igi-global.com
The integration of cutting-edge technologies into health literacy and medical practice
presents unprecedented opportunities and ethical challenges. This chapter delves into the …

Analysis of security and privacy issues of information management of big data in B2B based healthcare systems

BB Gupta, A Gaurav, PK Panigrahi - Journal of Business Research, 2023 - Elsevier
The healthcare industry may benefit from the implementation of a system that facilitates safe
and efficient data transmission if business-to-business (B2B) methods were more widely …

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 …