Federated learning (FL) represents an advanced approach to tackling the issues linked with
training machine learning (ML) models using distributed data while upholding privacy and …

Federated Learning has emerged as a revolutionary technology in Machine Learning (ML),
enabling collaborative training of models in a distributed environment while ensuring privacy …

Simple Summary This study addresses the classification task in animal science, which helps
organize and analyze complex data, essential for making informed decisions. It introduces …

Concerns surrounding privacy and data protection are a primary contributor to the hesitation
of institutions to adopt new educational technologies. Addressing these concerns could …

The 5.0 era's arrival and the ongoing advancement of technology have had a significant
impact on many facets of our society, including education. There is increased interest in …

Predicting student dropout is a crucial task in online education. Traditionally, each
educational entity (institution, university, faculty, department, etc.) creates and uses its own …

Federated learning (FL) is a popular method where edge devices work together to train
machine learning models. This study introduces an efficient network for analyzing …

In an era defined by rapid urbanization and technological advancements, this article
provides a comprehensive examination of the transformative influence of Federated …

In the fast-changing field of machine learning, data privacy and model training efficiency are
crucial. Federated Learning (FL) is a breakthrough method for training models on several …

Throughout the years, sustainable development has been the concern of many
governments. The United Nations have launched the agenda for sustainable development …