5G Networks and Edge Computing: Architecture and Applications

Sarah Johnson | DOI: 10.1234/journal.v2.2.012

This article explores the integration of 5G networks with edge computing architectures. We present a reference architecture for edge-enabled 5G applications and demonstrate its effectiveness through case studies in autonomous vehicles, smart cities, and augmented reality. The architecture reduces latency...

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...