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 …

Blockchain-empowered federated learning: Challenges, solutions, and future directions

J Zhu, J Cao, D Saxena, S Jiang, H Ferradi - ACM Computing Surveys, 2023 - dl.acm.org
Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey

AR Javed, MA Hassan, F Shahzad, W Ahmed, S Singh… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …

Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis

MA Ferrag, O Friha, L Maglaras, H Janicke… - IEEE Access, 2021 - ieeexplore.ieee.org
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …

Blockchain-enabled federated learning: A survey

Y Qu, MP Uddin, C Gan, Y Xiang, L Gao… - ACM Computing …, 2022 - dl.acm.org
Federated learning (FL) has experienced a boom in recent years, which is jointly promoted
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …

[HTML][HTML] Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges

EM Campos, PF Saura, A González-Vidal… - Computer Networks, 2022 - Elsevier
Abstract The application of Machine Learning (ML) techniques to the well-known intrusion
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …

Blockchain in construction management: Applications, advantages and limitations

D Mahmudnia, M Arashpour, R Yang - Automation in construction, 2022 - Elsevier
Blockchain technology (BCT) has been implemented in different industries, including
healthcare, manufacturing and construction. Integrating recent technologies such as the …

FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems

KS Arikumar, SB Prathiba, M Alazab, TR Gadekallu… - Sensors, 2022 - mdpi.com
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …

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 …

A novel federated learning scheme for generative adversarial networks

J Zhang, L Zhao, K Yu, G Min… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Generative adversarial networks (GANs) have been advancing and gaining tremendous
interests from both academia and industry. With the development of wireless technologies, a …