Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts that …

Machine learning (ML) has succeeded in improving our daily routines by enabling automation
and improved decision making in a variety of industries such as healthcare, finance, and …

The success of machine learning (ML) techniques in the formerly difficult areas of data analysis
and pattern extraction has led to their widespread incorporation into various aspects of …

Today’s world is changing dramatically due to the influence of various factors. Whether due
to the rapid development of technological tools, advances in telecommunication methods, …

Machine Learning (ML) and Deep Learning (DL) are derivatives of Artificial Intelligence (AI)
that have already demonstrated their effectiveness in a variety of domains, including …

Artificial Intelligence is exponentially evolving into a solution to many of humanity's complex
problems. In this context, healthcare is benefiting from this technology and all its branches to …

With the ability to analyze data, artificial intelligence technology and its offshoots have made
difficult tasks easier. The tools of these technologies are now used in almost every aspect of …

Maintaining user privacy in machine learning is a critical concern due to the implications of
data collection. Federated learning (FL) has emerged as a promising solution by sharing …

Artificial Intelligence (AI) is increasingly becoming a potential answer to many of science’s
most challenging problems. In this context, healthcare is using this technology and its …

The critical importance of user privacy in the context of Machine Learning is a hot research
topic because it hinders data collection. Consequently, Federated Learning (FL) has …