Security and privacy on 6g network edge: A survey

B Mao, J Liu, Y Wu, N Kato - IEEE communications surveys & …, 2023 - ieeexplore.ieee.org
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …

Blockchain intelligence for internet of vehicles: Challenges and solutions

X Wang, H Zhu, Z Ning, L Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

Incentive mechanisms for federated learning: From economic and game theoretic perspective

X Tu, K Zhu, NC Luong, D Niyato… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …

Communication-efficient and cross-chain empowered federated learning for artificial intelligence of things

J Kang, X Li, J Nie, Y Liu, M Xu, Z **ong… - … on Network Science …, 2022 - ieeexplore.ieee.org
Conventional machine learning approaches aggregate all training data in a central server,
which causes massive communication overhead of data transmission and is also vulnerable …

Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions

A Giannaros, A Karras, L Theodorakopoulos… - … of Cybersecurity and …, 2023 - mdpi.com
Autonomous vehicles (AVs), defined as vehicles capable of navigation and decision-making
independent of human intervention, represent a revolutionary advancement in transportation …

Decentral and incentivized federated learning frameworks: A systematic literature review

L Witt, M Heyer, K Toyoda, W Samek… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The advent of federated learning (FL) has sparked a new paradigm of parallel and
confidential decentralized machine learning (ML) with the potential of utilizing the …

Blockchain-based federated learning methodologies in smart environments

D Li, Z Luo, B Cao - Cluster Computing, 2022 - Springer
Blockchain technology is an undeniable ledger technology that stores transactions in high-
security chains of blocks. Blockchain can solve security and privacy issues in a variety of …

Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

A Bathula, SK Gupta, S Merugu, L Saba… - Artificial Intelligence …, 2024 - Springer
The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare,
addressing critical challenges in securing electronic health records (EHRs), ensuring data …

DRL-based adaptive sharding for blockchain-based federated learning

Y Lin, Z Gao, H Du, J Kang, D Niyato… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Blockchain-based Federated Learning (FL) technology enables vehicles to make smart
decisions, improving vehicular services and enhancing the driving experience through a …

Blockchain for securing ai applications and open innovations

R Shinde, S Patil, K Kotecha, K Ruikar - Journal of Open Innovation …, 2021 - mdpi.com
Nowadays, open innovations such as intelligent automation and digitalization are being
adopted by every industry with the help of powerful technology such as Artificial Intelligence …