We propose an autonomous blockchain-based federated learning (BFL) design for privacy-
aware and efficient vehicular communication networking, where local on-vehicle machine …

Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …

In this paper, we propose an autonomous blockchain-based federated learning (BFL)
design for privacy-aware and efficient vehicular communication networking, where local on …

Connected critical autonomous systems (C-CASs) are envisioned to significantly change our
life and work styles through emerging vertical applications, such as autonomous vehicles …

The centralized system becomes less efficient, secure, and resilient as the network size and
heterogeneity increase due to its inherent single point of failure issues. Distributed …

The distributed consensus intends to improve the reliability of critical decision making in
wireless connected autonomous systems. The performance of distributed consensus heavily …

Consensus protocol is a key technology enabling blockchain to provide secure and trustful
services in wireless networks. However, most previous study on blockchain consensus …

Federated learning is widely used in the context of wireless networks to protect sensitive
user data. However, centralized federated learning encounters some issues when applied to …

Recently, the manufacturing industry has revolutionized with 'smart manufacturing'and
'Industry 4.0', and with the development of the Industrial Internet of Things (IIoT), increasing …

Cooperative autonomous driving has emerged as an appealing paradigm to expand the
perception range of vehicles and improve driving safety by sharing local sensing data and …