Caching content at the edge network is a popular and effective technique widely deployed to
alleviate the burden of network backhaul, shorten service delay, and improve service quality …

Collaborative mobile edge computing (MEC) is a new paradigm that allows cooperative
peer offloading among distributed MEC servers to balance their computing workloads …

We present two novel federated learning (FL) schemes that mitigate the effect of straggling
devices by introducing redundancy on the devices' data across the network. Compared to …

Metaverse is an immersive and photorealistic shared virtual world that requires efficient
rendering and processing of millions of virtual objects and scenes. This leads to the …

The low-Earth orbit (LEO) satellite constellation holds immense potential for offshore wind
farm surveillance since it can provide all-day and all-weather monitoring capabilities …

Edge caching (EC) decreases the average access delay of end-users through caching
popular content at the edge of the network, however, it increases the leakage probability of …

We present a novel coded federated learning (FL) scheme for linear regression that
mitigates the effect of straggling devices while retaining the privacy level of conventional FL …

The ever-increasing scale and more stringent latency requirements of mobile computing
tasks have driven the recent development of distributed edge computing. In distributed edge …

This work investigates the design of sparse secret sharing schemes that encode a sparse
private matrix into sparse shares. This investigation is motivated by distributed computing …

The domain of Mobile Edge Computing (MEC) has seen rapid growth, making consumer
behavior research an essential element in many applications. Nevertheless, in MEC …