Agent architecture of an intelligent medical system based on federated learning and blockchain technology

D Połap, G Srivastava, K Yu - Journal of Information Security and …, 2021 - Elsevier
Multi-agent systems enable the division of complicated tasks into individual objects that can
cooperate. Such architecture can be useful in building solutions in the Internet of Medical …

Blockchain technology and neural networks for the internet of medical things

D Połap, G Srivastava, A Jolfaei… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
In today's technological climate, users require fast automation and digitization of results for
large amounts of data at record speeds. Especially in the field of medicine, where each …

Review on security of federated learning and its application in healthcare

H Li, C Li, J Wang, A Yang, Z Ma, Z Zhang… - Future Generation …, 2023 - Elsevier
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …

Blockchain-based federated learning with checksums to increase security in internet of things solutions

K Prokop, D Połap, G Srivastava, JCW Lin - Journal of Ambient …, 2023 - Springer
Federated learning is becoming a practical solution for machine learning (ML) in industry.
This is due to the possibility of implementing artificial intelligence (AI) systems and training …

[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] A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

A Rehman, S Abbas, MA Khan, TM Ghazal… - Computers in Biology …, 2022 - Elsevier
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …

Trustworthy privacy-preserving hierarchical ensemble and federated learning in healthcare 4.0 with blockchain

V Stephanie, I Khalil, M Atiquzzaman… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advancement of internet and communication technologies has led to the era of Industry
4.0. This shift is followed by healthcare industries creating the term Healthcare 4.0. In …

Converging blockchain and machine learning for healthcare

S Vyas, M Gupta, R Yadav - 2019 Amity international …, 2019 - ieeexplore.ieee.org
The power of machine learning in understanding the patterns in data, analyzing and making
decisions, has shown its importance in various sectors. Machine Learning requires …

Blockchain-based two-stage federated learning with non-IID data in IoMT system

Z Lian, Q Zeng, W Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) has a bright future with the development of smart
mobile devices. Information technology is also leading changes in the healthcare industry …

Cross-cluster federated learning and blockchain for internet of medical things

H Jin, X Dai, J Xiao, B Li, H Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Federated learning (FL) has been gaining popularity as a way to provide privacy-preserving
data sharing for the Internet of Medical Things (IoMT). As a complementary, blockchain …