Search Results for author: Giuseppe Di Giacomo

Found 4 papers, 1 papers with code

Dependable Distributed Training of Compressed Machine Learning Models

no code implementations22 Feb 2024 Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla Fabiana Chiasserini

The existing work on the distributed training of machine learning (ML) models has consistently overlooked the distribution of the achieved learning quality, focusing instead on its average value.

Matching DNN Compression and Cooperative Training with Resources and Data Availability

no code implementations2 Dec 2022 Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla Fabiana Chiasserini

To make machine learning (ML) sustainable and apt to run on the diverse devices where relevant data is, it is essential to compress ML models as needed, while still meeting the required learning quality and time performance.

Efficient Distributed DNNs in the Mobile-edge-cloud Continuum

no code implementations23 Feb 2022 Francesco Malandrino, Carla Fabiana Chiasserini, Giuseppe Di Giacomo

In the mobile-edge-cloud continuum, a plethora of heterogeneous data sources and computation-capable nodes are available.

Model Selection

Cannot find the paper you are looking for? You can Submit a new open access paper.