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 …

In the past two decades, there has been a rapid development in the drone industry known as
Unmanned Aerial Vehicles (UAVs). Currently, the use of commercial UAVs has increased a …

Industry 4.0 have witnessed a paradigm shift from cyber-physical systems (CPS) that aims at
massive automation, to a more customer-driven approach. The shift has been attributed to …

The emergence of Metaverse, a digital environment built on Web 3.0 technologies, has
garnered significant attention from various industries and fields, including science and …

The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

The growing application of machine learning (ML) techniques in healthcare has led to
increased interest in federated learning (FL), which enables the secure and private training …

Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-
effective and credible solutions for various real-world scenarios. UAVs provide an immense …

Recent advancements in natural language processing (NLP) have catalyzed the
development of models capable of generating coherent and contextually relevant …

The smart healthcare system has improved the patients quality of life (QoL), where the
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …