3 papers
cs.NI2025
A Study on 5G Network Slice Isolation Based on Native Cloud and Edge Computing Tools
Maiko Andrade, Juliano Araujo Wickboldt
5G networks support various advanced applications through network slicing, network function virtualization (NFV), and edge computing, ensuring low latency and service isolation. Ho…
cs.NI2025
KTWIN: A Serverless Kubernetes-based Digital Twin Platform
Alexandre Gustavo Wermann, Juliano Araujo Wickboldt
Digital Twins (DTs) systems are virtual representations of physical assets allowing organizations to gain insights and improve existing processes. In practice, DTs require proper m…
cs.LG2024
A Framework for testing Federated Learning algorithms using an edge-like environment
Felipe Machado Schwanck, Marcos Tomazzoli Leipnitz, Joel LuÃs Carbonera +1
Federated Learning (FL) is a machine learning paradigm in which many clients cooperatively train a single centralized model while keeping their data private and decentralized. FL i…