Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

Huge amounts of data are generated with the emergence of new sensor technologies.
Human activity recognition (HAR) datasets are generated from cameras, such as video or …

Federated learning can achieve multi-party data-collaborative applications while
safeguarding personal privacy. However, the process often leads to a decline in the quality …

Human activity recognition (HAR) plays a central role in ubiquitous computing applications
such as health monitoring. In the real world, it is impractical to perform reliably and …

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 …

In recent times, mobile communications and Internet of Things (IoT) techniques have been
technologically advanced to gather environmental and human data for many applications …

Abstract Federated Meta-Learning (FML), a fusion of Federated Learning (FL) and Meta-
Learning principles, has emerged as a hot topic recently. It introduces a novel paradigm that …

Human Activity Recognition (HAR) holds valuable potential as a digital biomarker, offering
insights into individuals' physical activities and well-being. Leveraging wearable devices to …

Abstract Indian Sign Language (ISL) is the primary language of communication for the deaf
and hard of hearing community in India. It is estimated that over 18 million people in India …

This article introduces the application research of federated learning technology in the field
of smart homes. In recent years, with the popularization of smart devices and the …