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 …

Federated learning for connected and automated vehicles: A survey of existing approaches and challenges

VP Chellapandi, L Yuan, CG Brinton… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing

W Xu, Z Yang, DWK Ng, M Levorato… - IEEE journal of …, 2023 - ieeexplore.ieee.org
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …

Edge-IIoTset: A new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning

MA Ferrag, O Friha, D Hamouda, L Maglaras… - IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we propose a new comprehensive realistic cyber security dataset of IoT and
IIoT applications, called Edge-IIoTset, which can be used by machine learning-based …

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 …

A deep learning approach for intrusion detection in Internet of Things using focal loss function

AS Dina, AB Siddique, D Manivannan - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

Decentralized federated learning for healthcare networks: A case study on tumor segmentation

BC Tedeschini, S Savazzi, R Stoklasa, L Barbieri… - IEEE …, 2022 - ieeexplore.ieee.org
Smart healthcare relies on artificial intelligence (AI) functions for learning and analysis of
patient data. Since large and diverse datasets for training of Machine Learning (ML) models …

Federated semisupervised learning for attack detection in industrial Internet of Things

O Aouedi, K Piamrat, G Muller… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Security has become a critical issue for Industry4. 0 due to different emerging cyber-security
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …

Federated deep learning for anomaly detection in the internet of things

X Wang, Y Wang, Z Javaheri, L Almutairi… - Computers and …, 2023 - Elsevier
Privacy has emerged as a top worry as a result of the development of zero-day hacks
because IoT devices produce and transmit sensitive information through the regular internet …

Federated learning and blockchain-enabled fog-IoT platform for wearables in predictive healthcare

MJ Baucas, P Spachos… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Over the years, the popularity and usage of wearable Internet of Things (IoT) devices in
several healthcare services are increased. Among the services that benefit from the usage of …