Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …

Since its inception in 2016, federated learning has evolved into a highly promising decentral-
ized machine learning approach, facilitating collaborative model training across numerous …

Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …

A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …

The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative
shift towards a more resilient future, particularly concerning pandemic preparedness. Within …

The rapid growth of the fintech industry, driven by the proliferation of mobile applications,
has revolutionized financial services, providing unprecedented convenience to users …

It is crucial to correctly identify and evaluate wheat illnesses to stop their growth and boost
farming output. This research study intends to use CNN with collaborative learning to …

The Internet of Things (IoT) introduces significant security vulnerabilities, raising concerns
about cyber-attacks. Attackers exploit these vulnerabilities to launch distributed denial-of …

Federated learning (FL) has emerged as a promising technique for preserving user privacy
and ensuring data security in distributed machine learning contexts, particularly in edge …

Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …