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...