5 citations · 5 across the 4 of their papers we have counts for
4 papers
A Multi-Agent system for Multi-Objective constrained optimization
Federica Filippini
Many decision-making problems in computing and networking systems can be naturally formulated as cost-minimization problems under performance constraints. In dynamic environments,…
Federated Reinforcement Learning for Runtime Optimization of AI Applications in Smart Eyewears
Hamta Sedghani, Abednego Wamuhindo Kambale, Federica Filippini +3
Extended reality technologies are transforming fields such as healthcare, entertainment, and education, with Smart Eye-Wears (SEWs) and Artificial Intelligence (AI) playing a cruci…
OSCAR-P and aMLLibrary: Profiling and Predicting the Performance of FaaS-based Applications in Computing Continua
Roberto Sala, Bruno Guindani, Enrico Galimberti +6
This paper proposes an automated framework for efficient application profiling and training of Machine Learning (ML) performance models, composed of two parts: OSCAR-P and aMLLibra…
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
Federica Filippini, Danilo Ardagna, Marco Lattuada +7
Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions. DL training jobs are highly resource demanding and t…