abstract Over the last decade there has a been widespread usage of Machine Learning (ML)
classifiers in cases such accurate disease diagnosis at clinics, credit card fraud detection in …

Privacy-preserving scalar product (PPSP) protocols are an important building block for
secure computation tasks in various applications. Lu et al.(TPDS'13) introduced a PPSP …

Federated learning is a groundbreaking distributed machine learning paradigm that allows
for the collaborative training of models across various entities without directly sharing …

Machine learning (ML) classifiers are invaluable building blocks that have been used in
many fields. High quality training dataset collected from multiple data providers is essential …

Along with the widespread use of smartphones, activity recognition using embedded inertial
sensors has intrigued researchers. The learning and employing activity recognition systems …

Over the last decade there has a been widespread usage of Machine Learning (ML)
classifiers in cases such accurate disease diagnosis at clinics, credit card fraud detection in …

With the rapid development of information technology and the increase of people's health
awareness, online medical service dedicated to provide efficient and convenient health …

The continuous increase in population of our country is a great burden on our medical
resources. So there is an urgent need of efficient technology which increases the …

Edge computing has garnered significant attention in recent years, as it enables the
extension of cloud resources to the network edge. This enables the user to utilize virtually …

In the wake of the development in science and technology, consumer or user has produced
a large quantity of the information source, whether it is the mobile terminals or the client …