Cloud, Edge and Infrastructure
AI in cloud, edge and infrastructure is a field where the exploitation of data is crucial. This section makes the point on some recent advances in the field by giving references on ongoing research projects.
SPACE4AI-R
SPACE4AI-R : runtime management tool for aI applications component placement and resource selection in computing continua
AI-SPRINT-STUDIO
This project contains the design environment project structure of an AI-SPRINT application. Furthermore, it contains the initial version of the AI-SPRINT parsers.
IM (Infrastructure Manager)
Service for the complete orchestration of virtual infrastructures and applications deployed on it, including resource provisioning, deployment, configuration, re-configuration, and termination.
Scheduling for Accelerated Devices
The GPU Scheduler tool determines the best scheduling and GPU allocation for Deep Learning training jobs, reducing energy and execution costs (in both private or public clouds) while meeting deadline constraints. The tool only requires the list of submit...
Secure Generative Data Exchange (SGDE)
The Secure Generative Data Exchange (SGDE) is a Python application that allows users to train, upload, and download generative models to and from a server.
Privacy Preserving Component
The Privacy Preserving Component offered by AI-SPRINT facilitates the training of image classification neural networks with assured privacy protections. It also tests the robustness of these models against prevalent attacks on deep learning systems. Depen...
POPNAS (Models Architecture Search)
Pareto Optimal Progressive Neural Network Architecture Search tool