| KEYWORD |
Area Engineering
In-Network Machine Learning for Sustainable and Efficient Distributed Learning
Thesis abroad
Reference persons GUIDO MARCHETTO, ALESSIO SACCO
External reference persons Prof. Flavio Esposito - St. Louis University, USA
Research Groups DAUIN - GR-03 - COMPUTER NETWORKS GROUP - NETGROUP
Description This research investigates the deployment of machine learning algorithms within network infrastructure to enable sustainable and efficient distributed learning. By leveraging in-network computing capabilities, the study aims to reduce data transfer costs and latency, facilitating faster and more energy-efficient model training. The thesis will propose innovative techniques for embedding machine learning tasks directly into network nodes, enhancing the overall performance and scalability of distributed learning systems.
Deadline 11/07/2025
PROPONI LA TUA CANDIDATURA