Blockchain Technology for Secure Data Management in Healthcare

Sarah Johnson | DOI: 10.1234/journal.v1.2.004

This research paper explores the application of blockchain technology for securing patient data in healthcare systems. We propose a novel framework that ensures data integrity, privacy, and interoperability across multiple healthcare providers. The system was tested with 10,000 simulated patient...

Federated Learning for Privacy-Preserving Machine Learning

Sarah Johnson | DOI: 10.1234/journal.v3.1.013

This research investigates federated learning as a solution for privacy-preserving machine learning. We implement and evaluate a federated learning system across 100 edge devices, demonstrating that models can achieve 95% of centralized performance while maintaining data privacy. The system includes...