Distributed learning is envisioned as the bedrock of next-generation intelligent networks,
where intelligent agents, such as mobile devices, robots, and sensors, exchange information …

Low earth orbit (LEO) satellite networks can break through geographical restrictions and
achieve global wireless coverage, which is an indispensable choice for future mobile …

In this paper, we investigate a hybrid mobile cloud/edge computing system with coexistence
of centralized cloud and mobile edge computing, which enables computation offloading and …

The recovery of missing samples from available noisy measurements is a fundamental
problem in signal processing. This process is also sometimes known as graph signal …

Satellite edge computing, as an extension of ground edge computing, is a key technology for
achieving seamless global computing coverage. However, the low earth orbit (LEO) …

Vehicle-to-Everything edge computing accomplishes the goal of low latency by offloading
tasks to edge computing servers, but how to reduce the computing latency of vehicle …

This article examines the cache-enabled high-low-altitude-platforms integrated network
(CHLIN), which consists of multiple high-altitude platforms (HAPs) and cacheable low …

We tackle the peak to average power ratio (PAPR) reduction of an orthogonal frequency
division multiplexing (OFDM)-based massive multi-user (MU) multiple-input multiple-output …

In this article, we examine a novel generic network cost minimization problem, in which
every node has a local decision vector to optimize. Each node incurs a cost associated with …

In this article, we investigate a constrained composition optimization problem in a directed
communication network. Each agent is equipped with a local objective function composed of …