The evolution of the Industrial Internet of Things (IIoTs) greatly increases the volume of data
generated by the connected IIoT devices. IIoT data are playing an increasingly important …

Abstract Autonomous Forklifts (AFs) play a vital role in smart factories, particularly in the
transportation of heavy loads. However, their energy consumption poses a significant …

Object tracking has always been one of the most challenging topics in machine vision. In
recent years, trackers have used RGB-T datasets to overcome the limitations of single …

In this article, we consider the problem of distributed optimisation of a separable convex cost
function over a graph, where every edge and node in the graph could carry both linear …

Oversubscription is a common practice for improving cloud resource utilization. It allows the
cloud service provider to sell more resources than the physical limit, assuming not all users …

In the traditional video streaming service paradigm, content providers typically provision the
requested video content to viewers through a central content delivery network (CDN) …

Coordinating residential building groups requires a hierarchical structure in which
aggregate objectives and coupled constraints are incorporated into decision-making …

In practice, many machine learning (ML) problems come with constraints, and their applied
domains involve distributed sensitive data that cannot be shared with others, eg, in …

When dealing with massive data that is distributed across multiple servers, it is particularly
important to solve the distributed learning problem while minimizing the communication cost …

Observing celestial objects and advancing our scientific knowledge about them involves
tedious planning, scheduling, data collection and data post-processing. Many of these …