In this paper, we investigate a distributed machine learning approach for a multiuser mobile
edge computing (MEC) network in a cognitive eavesdropping environment, where multiple …

In this paper, we study a relay-assisted federated edge learning (FEEL) network under
latency and bandwidth constraints. In this network, users collaboratively train a global model …

To build intelligent model learning in conventional architecture, the local data are required to
be transmitted toward the cloud server, which causes heavy backhaul congestion, leakage …

This paper studies a secure mobile edge computing (MEC) for emerging cyber physical
systems (CPS), where there exist K eavesdroppers in the network, which can threaten the …

This article examines a multi-user mobile edge computing (MEC) system for the Internet of
Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing …

In this paper, we investigate an intelligent reflecting surface (IRS)-assisted mobile edge
computing (MEC) network under physical-layer security, where users can partially offload …

In this paper, we investigate a mobile edge computing (MEC) network, where the user has
some computational tasks to be assisted by multiple computational access points (CAPs) …

In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO)
system can offer high spectral and energy efficiency, it requires to feedback the downlink …

In this paper, we investigate how to analytically design an analytical offloading strategy for a
multiuser mobile edge computing (MEC)-based smart internet of vehicle (IoV), where there …