Recent research has demonstrated that Non-Identically Distributed (Non-IID) data can
negatively impact the performance of global models constructed in federated learning. To …

Swarm intelligence (SI) algorithms represent a class of Artificial Intelligence (AI) optimization
metaheuristics used for solving complex optimization problems. However, a key challenge in …

In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a
critical yet challenging task, primarily due to the complex nature of retinal images. The …

Digital forensics is a rapidly growing sub-domain of forensic science, primarily due to
technological advancements and their integration into everyday life. In this paper, our study …

The Metaverse, a 3-dimensional virtual realm mirroring real-world objects, promises
transformative experiences. Its potential is tempered by data collection, confidentiality, and …

In the rapidly evolving machine learning (ML) and distributed systems realm, the escalating
concern for data privacy naturally comes to the forefront of discussions. Federated learning …

Modern systems and applications generate and consume an enormous amount of data from
different sources, including mobile edge computing and IoT systems. Our ability to locate …

Abstract Internet of Things (IoT) devices are an integral part of our cyber infrastructure. Edge
IoT devices, specifically, are utilized where time matters most, but they do not have many …