This paper attempts to identify the requirement and the development of machine learning‐
based mobile big data (MBD) analysis through discussing the insights of challenges in the …

This paper basically concentrates on providing an appropriate distributed-based energy
management framework in smart islands. Smart island is defined as insular territory with the …

We study dual-based algorithms for distributed convex optimization problems over networks,
where the objective is to minimize a sum Σ i= 1 mfi (z) of functions over in a network. We …

Over the last few decades, the use of renewable and clean energy sources has been the
core of attention of the researchers. Besides, utilization of the energy hubs as a great …

Distributed optimization methods have been vastly investigated and approved by the
researchers due to their major advantages including high accuracy, secured performance …

Graph filters are one of the core tools in graph signal processing. A central aspect of them is
their direct distributed implementation. However, the filtering performance is often traded …

The proliferation of smart devices that complement the energy system in order to make it
easier to change the appearance of unique and autonomous energy systems and make …

The ongoing development of technology has changed the nature of electric networks in the
field of electric power generation. In the same vein, the generation units and demands are …

As the modern world becomes increasingly digitized and interconnected, distributed signal
processing has proven to be effective in processing its large volume of data. However, a …

Privacy-preserving distributed processing has recently attracted considerable attention. It
aims to design solutions for conducting signal processing tasks over networks in a …