In the recent years, blockchain technology has gained significant attention in the healthcare
sector. It has the potential to alleviate a wide variety of major difficulties in electronic health …

The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …

Data is readily available with the growing number of smart and IoT devices. However,
application-specific data is available in small chunks and distributed across demographics …

The main goal of this paper is to survey the influential research of distributed learning
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …

Federated learning has been rapidly evolving and gaining popularity in recent years due to
its privacy-preserving features, among other advantages. Nevertheless, the exchange of …

When data privacy is imposed as a necessity, Federated learning (FL) emerges as a
relevant artificial intelligence field for develo** machine learning (ML) models in a …

Because of the widespread presence and ease of access to the Internet, edge devices are
the perfect candidates for providing quality training on a variety of applications. However …

Objective: The primary objective of our study is to address the challenge of confidentially
sharing medical images across different centers. This is often a critical necessity in both …

Self-sovereign identity (SSI) is a new paradigm to digital identity management that is built on
decentralized technologies and can exist without centralized third-parties for managing the …

Federated learning (FL) has emerged as a promising privacy-preserving solution, which
facilitates collaborative learning. However, FL is also vulnerable to poisoning attacks, as it …