Federated learning (FL) has experienced a boom in recent years, which is jointly promoted
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …

Since the inception of Bitcoin, cryptocurrencies and the underlying blockchain technology
have attracted an increasing interest from both academia and industry. Among various core …

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

The advent of distributed energy resources (DERs), such as distributed renewables, energy
storage, electric vehicles, and controllable loads, brings a significantly disruptive and …

This paper explores the evidentiary significance of blockchain records and the procedural
implications of integrating this technology into the US judicial system, as several states have …

The current standalone deep learning framework tends to result in overfitting and low utility.
This problem can be addressed by either a centralized framework that deploys a central …

Limitations on high latency and low scalability of classical blockchain systems retard their
adoptions and applications. Reconstructed blockchain systems have been proposed to …

With recent developments in communication technologies, vehicular networks have become
a reality with various applications. However, the cybersecurity aspect of vehicular networks …

With the booming of smart grid, the ubiquitously deployed smart meters constitutes an
energy Internet of Things (IoT). This article develops a novel blockchain-based transactive …

With the recent advent of blockchains, we have witnessed a plethora of blockchain
proposals. These proposals range from using work to using time, storage or stake in order to …