Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …

By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

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

Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …

Cognitive computing, a revolutionary AI concept emulating human brain's reasoning
process, is progressively flourishing in the Industry 4.0 automation. With the advancement of …

Federated learning (FL), as a distributed machine learning paradigm, promotes personal
privacy by local data processing at each client. However, relying on a centralized server for …

Distributed training across several quantum computers could significantly improve the
training time and if we could share the learned model, not the data, it could potentially …

The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …

Federated learning (FL), as a distributed machine learning technology, allows large-scale
nodes to utilize local datasets for model training and sharing without revealing privacy …

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 …