Cancer research encompasses data across various scales, modalities, and resolutions, from
screening and diagnostic imaging to digitized histopathology slides to various types of …

The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …

A cataract is one of the most significant eye problems worldwide that does not immediately
impair vision and progressively worsens over time. Automatic cataract prediction based on …

The development of AI applications, especially in large-scale wireless networks, is growing
exponentially, alongside the size and complexity of the architectures used. Particularly …

Blockchain is a key technology to realize decentralized trust management. In recent studies,
sharding-based blockchain models are proposed and applied to the resource-constrained …

Federated learning has recently attracted significant attention as a cutting-edge technology
that enables Artificial Intelligence (AI) algorithms to utilize global learning across the data of …

Smart healthcare systems promise significant benefits for fast and accurate medical
decisions. However, working with personal health data presents new privacy issues and …

The widespread use of healthcare data for online medical diagnosis has been made
possible by deep learning advancements. However, entrusting computation and storage to …

In this paper, we propose a Federated Privacy-Enhanced Healthcare (FPEH) learning
framework based on Gaussian differential privacy and Paillier homomorphic encryption to …

The amalgamation of artificial intelligence (AI) and machine learning (ML) in healthcare
offers a revolutionary prospect to improve patient outcomes, optimize workflow, and curtail …