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.

Open Source approach in two metaOS projects

2nd International Workshop on MetaOS for the Cloud-Edge-IoT Continuum (MECC 2025), Rotterdam, The Netherlands
Transparency, collaboration, security, and digital sovereignty are the open source values that are also important to many European countries and institutions.

An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures

22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.