IEEE

Federated Learning for Privacy-Preserving Severity Classification in Healthcare: A Secure Edge-Aggregated Approach

Abstract: Federated learning (FL) has emerged as a promising paradigm for privacy-preserving machine learning across decentralized healthcare systems. This study proposes a secure and adaptive FL ...
IEEE

Local–Global Spectral Feature-Aware Learning for Hyperspectral Imagery Classification

Abstract: Effective modeling of the relationship between local spectral details and global contextual information remains a core challenge in hyperspectral image (HSI) classification. In this article, ...