Giuseppe Di Giacomo

Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37o ciclo (2021-2024)

Dottorato concluso nel 2025

Tesi:

Resource-Aware and Resilient Learning in Mobile Networks (Abstract)

Tutori:

Carla Fabiana Chiasserini

Profilo

Argomento di ricerca

Distributed Machine Learning

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science
Communication and Computer Networks

Biografia

Giuseppe Di Giacomo was born in Turin (Italy) on June 11th, 1996.
He obtained his Bachelor’s Degree at Politecnico di Torino in Electronic Engineering in 2018. Then, in his Masters’ studies, he joined a double degree program, which allowed him to graduate in ICT For Smart Societies, at Politecnico di Torino, and in Data Science and Engineering, at EURECOM (Biot, France).
From May 2021 he is a PhD student in Electrical, Electronics and Communications Engineering under the supervision of Professor Carla Fabiana Chiasserini. The focus of his research is distributed Machine Learning. In particular, he studies methods such as Federated Learning and Split Learning, in order to find efficient techniques that would allow reducing the energy required to train the increasingly power-demanding Deep Learning models. Also, he is interested in the potential application of diffusion models, a powerful family of generative models, in communication systems for image transmission, in order to decrease bandwidth usage and communication costs.

Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

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