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.
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.
Progress in the definition of the SDN-microSENSE architecture
Blog article published on the SDN microSense website.