Federated learning review: Fundamentals, enabling technologies, and future applications

S Banabilah, M Aloqaily, E Alsayed, N Malik… - Information processing & …, 2022 - Elsevier
Federated Learning (FL) has been foundational in improving the performance of a wide
range of applications since it was first introduced by Google. Some of the most prominent …

Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

A survey on security and privacy of federated learning

V Mothukuri, RM Parizi, S Pouriyeh, Y Huang… - Future Generation …, 2021 - Elsevier
Federated learning (FL) is a new breed of Artificial Intelligence (AI) that builds upon
decentralized data and training that brings learning to the edge or directly on-device. FL is a …

[HTML][HTML] 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 …

Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can
improve the driving experience and service quality. However, the bandwidth, security and …

Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

Two-layer federated learning with heterogeneous model aggregation for 6g supported internet of vehicles

X Zhou, W Liang, J She, Z Yan, I Kevin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The vision of the upcoming 6G technologies that have fast data rate, low latency, and ultra-
dense network, draws great attentions to the Internet of Vehicles (IoV) and Vehicle-to …

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 …

Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges

M Ali, H Karimipour, M Tariq - Computers & Security, 2021 - Elsevier
The role of the Internet of Things (IoT) in the revolutionized society cannot be overlooked.
The IoT can leverage advanced machine learning (ML) algorithms for its applications …

Secure and provenance enhanced internet of health things framework: A blockchain managed federated learning approach

MA Rahman, MS Hossain, MS Islam, NA Alrajeh… - Ieee …, 2020 - ieeexplore.ieee.org
Recent advancements in the Internet of Health Things (IoHT) have ushered in the wide
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …