Coupled with reliable wireless communication technologies, the IoT devices can serve as
important sources of sensor data for data-driven Artificial Intelligence (AI) applications …

The development of smart vehicles and rich cloud services have led to the emergence of
vehicular edge computing. To perform the distributed computation tasks efficiently, Coded …

We formulate a novel framework to improve security and utility of the coded multi-access
edge computing (MEC) network for Internet of Things (IoT) applications where multiple edge …

In recent years, edge computing has attracted increasing attention for its capability of
facilitating delay-sensitive applications. In the implementation of edge computing, however …

Coded distributed computing (CDC) has emerged as a promising approach because it
enables computation tasks to be carried out in a distributed manner while mitigating …

In recent years, edge computing has become a hot topic because it can significantly reduce
the latency of network services by utilizing the computation resources at the edge of the …

Abstract Mobile Edge Computing (MEC) combinedly with Federated Learning is con-sidered
as most capable solutions to AI-driven services. Most of the studies focus on Federated …

As the amount of data collected for crowdsensing applications increases rapidly due to
improved sensing capabilities and the increasing number of Internet of Things (IoT) devices …

Federated Learning (FL) is a privacy-preserving collaborative learning approach that trains
artificial intelligence (AI) models without revealing local datasets of the FL workers. One of …

In recent years, edge computing (EC), as an emerging technology, has been widely used in
various industries. It can meet the needs of industries in real-time business, application …