Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …

The new development trends including Internet of Things (IoT), smart city, enterprises digital
transformation and world's digital economy are at the top of the tide. The continuous growth …

An Internet of Vehicles (IoV) allows forming a self-organized network and broadcasting
messages for the vehicles on roads. However, as the data are transmitted in an insecure …

Autonomous vehicles (AVs) are increasingly common, although there remain a number of
limitations that need to be addressed in order for their deployment to be more widespread …

Abstract Deep Neural Networks (DNNs) have developed rapidly in data privacy protection
applications such as medical treatment and finance. However, DNNs require high-speed …

The rapid growth of data has successfully promoted the development of edge computing,
which is used for processing the data at the edge of network. The emergence of edge …

Abstract The Internet of Things (IoT) is becoming increasingly popular for transmitting
massive data in a network. With a limited supply of IoT devices, utilizing cloud storage is …

Blockchain-enabled voting (BEV) systems have emerged as the next generation of modern
electronic voting (e-voting) systems, because the immutable property of the blockchain has …

The designs of existing incentive mechanisms in mobile crowdsensing (MCS) are primarily
platform-centered or user-centered, while overlooking the multidimensional consideration of …

Nowadays, the advance of smart grid technology has fostered the development of
microgrids, which can efficiently control and manage the distributed energy resources …