On the physical layer security of federated learning based IoMT networks

J Ahmed, TN Nguyen, B Ali, MA Javed… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Internet of Medical Things (IoMT) connects different medical devices, health sensors and
hospital records to data platforms using wireless communications. Federated Learning (FL) …

A survey on federated learning for security and privacy in healthcare applications

KK Coelho, M Nogueira, AB Vieira, EF Silva… - Computer …, 2023 - Elsevier
Technological advances in smart devices and applications targeting the Internet of
Healthcare Things provide a perfect environment for using Machine Learning-based …

[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 …

A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning

TM Mengistu, T Kim, JW Lin - Sensors, 2024 - mdpi.com
Federated learning (FL) is a machine learning (ML) technique that enables collaborative
model training without sharing raw data, making it ideal for Internet of Things (IoT) …

[HTML][HTML] Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions

JPA Yaacoub, HN Noura, O Salman - Internet of Things and Cyber-Physical …, 2023 - Elsevier
Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …

A review of privacy enhancement methods for federated learning in healthcare systems

X Gu, F Sabrina, Z Fan, S Sohail - International Journal of Environmental …, 2023 - mdpi.com
Federated learning (FL) provides a distributed machine learning system that enables
participants to train using local data to create a shared model by eliminating the requirement …

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 …

Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey

F Mosaiyebzadeh, S Pouriyeh, RM Parizi, QZ Sheng… - Electronics, 2023 - mdpi.com
Advancements in wearable medical devices using the IoT technology are shaping the
modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT) …

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 …

Fed-inforce-fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks

IA Khan, I Razzak, D Pi, N Khan, Y Hussain, B Li… - Information …, 2024 - Elsevier
Abstract Internet of Medical Things (IoMT) has emerged as a combination of sensors,
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …