Blockchain-Based Distributed Software-Defined Vehicular Networks: A Dueling Deep -Learning Approach
Vehicular ad hoc networks (VANETs) have become an essential part in smart transportation
systems of modern cities. However, because of dynamicity and infrastructure-less of …
systems of modern cities. However, because of dynamicity and infrastructure-less of …
FLchain: Federated learning via MEC-enabled blockchain network
In this paper, we propose blockchain network based architecture called “FLchain” for
enhancing security of Federated Learning (FL). We leverage the concept of channels for …
enhancing security of Federated Learning (FL). We leverage the concept of channels for …
Blockchain-empowered secure federated learning system: Architecture and applications
Federated learning (FL) is a promising paradigm to realize distributed machine learning on
heterogeneous clients without exposing their private data. However, there is the risk of …
heterogeneous clients without exposing their private data. However, there is the risk of …
Blockchain-based two-stage federated learning with non-IID data in IoMT system
The Internet of Medical Things (IoMT) has a bright future with the development of smart
mobile devices. Information technology is also leading changes in the healthcare industry …
mobile devices. Information technology is also leading changes in the healthcare industry …
When federated learning meets blockchain: A new distributed learning paradigm
Motivated by the increasingly powerful computing capabilities of end-user equipment, and
by the growing privacy concerns over sharing sensitive raw data, a distributed machine …
by the growing privacy concerns over sharing sensitive raw data, a distributed machine …
Privacy-preserving blockchain-based federated learning for traffic flow prediction
Y Qi, MS Hossain, J Nie, X Li - Future Generation Computer Systems, 2021 - Elsevier
As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …
traffic flow prediction has become a vital component of intelligent transportation systems …
Secure and provenance enhanced internet of health things framework: A blockchain managed federated learning approach
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 …
adoption of IoT devices in our daily health management. For IoHT data to be acceptable by …
Practical privacy-preserving federated learning in vehicular fog computing
Benefitting from the outstanding capabilities of intelligent controlling and prediction,
federated learning (FL) has been widely applied in Internet of Vehicle (IoV). However …
federated learning (FL) has been widely applied in Internet of Vehicle (IoV). However …
A privacy-preserving and verifiable federated learning method based on blockchain
C Fang, Y Guo, J Ma, H Xie, Y Wang - Computer Communications, 2022 - Elsevier
As a novel distributed learning mechanism, federated learning has drawn widespread
attention by allowing multiple parties to train an accurate model collaboratively without …
attention by allowing multiple parties to train an accurate model collaboratively without …
A hierarchical blockchain-enabled federated learning algorithm for knowledge sharing in internet of vehicles
Internet of Vehicles (IoVs) is highly characterized by collaborative environment data sensing,
computing and processing. Emerging Big Data and Artificial Intelligence (AI) technologies …
computing and processing. Emerging Big Data and Artificial Intelligence (AI) technologies …