Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Abstract: This article proposes a distributed time-varying optimization approach to address the dynamic resource allocation problem, leveraging a sliding mode technique. The algorithm integrates a ...
Abstract: This paper conducts a thorough comparative analysis of optimization algorithms for an unconstrained convex optimization problem. It contrasts traditional methods like Gradient Descent (GD) ...
A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...