Overview of distributed machine learning techniques for 6G networks
The main goal of this paper is to survey the influential research of distributed learning
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
TruFLaaS: Trustworthy federated learning as a service
The increasing availability of data generated by Internet of Things (IoT) and Industrial IoT
(IIoT) devices, as well as privacy and law regulations, have significantly boosted the interest …
(IIoT) devices, as well as privacy and law regulations, have significantly boosted the interest …
Resource management in mobile edge computing: a comprehensive survey
With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC)
has emerged as a major computing paradigm. Compared to cloud computing, MEC …
has emerged as a major computing paradigm. Compared to cloud computing, MEC …
Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey
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) …
modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT) …
Blockchain-enhanced federated learning market with social internet of things
The machine learning performance usually could be improved by training with massive data.
However, requesters can only select a subset of devices with limited training data to execute …
However, requesters can only select a subset of devices with limited training data to execute …
A review of privacy enhancement methods for federated learning in healthcare systems
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 …
participants to train using local data to create a shared model by eliminating the requirement …
Blockchain systems, technologies, and applications: A methodology perspective
In the past decade, blockchain has shown a promising vision to build trust without any
powerful third party in a secure, decentralized and scalable manner. However, due to the …
powerful third party in a secure, decentralized and scalable manner. However, due to the …
Privacy‐preserving federated learning cyber‐threat detection for intelligent transport systems with blockchain‐based security
Artificial intelligence (AI) techniques implemented at a large scale in intelligent transport
systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making …
systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making …
Implementation of hybrid blockchain in a pre-owned electric vehicle supply chain
G Subramanian, AS Thampy - IEEE Access, 2021 - ieeexplore.ieee.org
Ecumenical carbon dioxide (CO 2) emission emanates from car, bus, taxi, and motorcycle is
around 45%. Electric vehicle could be the major contributor to abbreviate the pollution level …
around 45%. Electric vehicle could be the major contributor to abbreviate the pollution level …
[HTML][HTML] Security of Internet of Things (IoT) using federated learning and deep learning-Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …