Federated Learning: A decentralized approach to smarter, safer AI
Project blogpost
Federated Learning represents a transformative shift in how Artificial Intelligence (AI) models are developed and deployed.
Goal-Oriented Semantic Aware Communication: towards more intelligent and sustainable 6G networks
Project blogpost
A key concept addressed in the 6G-LEADER Project is the optimization of communication processes by aligning the information exchange with specific objectives.
Resource Orchestration and Optimization in 6G Extreme-edge Scenario
2025 IEEE Conference on Standards for Communications and Networking (CSCN)
6G networks envision a pervasive service infrastructure spanning from centralized cloud to distributed edge and highly dynamic extreme-edge domains.
Edge Microservice Deployment and Management Using SDN-Enabled Whitebox Switches
Electronics Journal
This work advances a 6G-ready, micro-granular SDN fabric that unifies high-performance edge data planes with intent-driven, multi-domain orchestration and cloud offloading.
System and method to provide informed runtime predictions in High-Performance Computing
This solution tackles the challenge of measuring uncertainty in job duration predictions through a structured two-step process.
System and method to provide safe runtime predictions in High-Performance Computing
The solution presents a dynamic strategy aimed at optimizing execution time predictions within high-performance computing (HPC) systems.
Toward an Intelligent Energy Efficient and Trustworthy 6G M&O Architecture
IEEE Communications Magazine
6G networks aim to further improve QoS while optimizing environmental sustainability metrics, and integrate increased levels of intelligence for automated control and performance optimization.
Resource Optimization in HPC Systems via Automated Zombie Job Detection and Termination
This solution addresses the challenge of identifying zombie jobs in HPC environments through an automated and adaptive two-stage approach.
Jobs Similarity Evaluator
This solution enhances the optimization of HPC system usage by identifying jobs that closely resemble a currently analyzed workload.
Digital Twin Framework and Federated Learning for Multi-plant Knowledge Sharing in Decision Support for Electric Steelmaking and Beyond
La Metallurgia Italiana - International Journal of the Italian Association for Metallurgy
The processes of electric steelmaking are complex and difficult to control to achieve sustainable production. To strive towards competitiveness and green transformation, steelmakers apply the Electric Arc Furnace (EAF) to circulate scrap into new products.