In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …

Drone security is currently a major topic of discussion among researchers and industrialists.
Although there are multiple applications of drones, if the security challenges are not …

As remote sensing (RS) data obtained from different sensors become available largely and
openly, multimodal data processing and analysis techniques have been garnering …

In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) with the objective to optimize computation offloading with minimum UAV energy …

In this paper, we analyze the convergence of the alternating direction method of multipliers
(ADMM) for minimizing a nonconvex and possibly nonsmooth objective function, ϕ (x_0 …

The alternating direction method of multipliers (ADMM) is widely used to solve large-scale
linearly constrained optimization problems, convex or nonconvex, in many engineering …

The deployment of distributed energy resources, combined with a more proactive demand
side management, is inducing a new paradigm in power system operation and electricity …

This paper studies the workload offloading problem for fog computing networks in which a
set of fog nodes can offload part or all the workload originally targeted to the cloud data …

This paper proposes a decentralized algorithm for solving a consensus optimization
problem defined in a static networked multi-agent system, where the local objective …

Load aggregators can use demand response programs to motivate residential users toward
reducing electricity demand during peak time periods. This article proposes a demand …