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

A Privacy-Preserving Decentralized Federated Learning Framework Based on Differential Privacy

Abstract: Federated learning allows machine learning models to be trained by local clients without sharing data directly, providing a degree of privacy protection. However, existing studies reveal ...