
About
Gianluca Mittone is a postdoctoral researcher at the University of Turin's Computer Science Department, affiliated with the Parallel Computing group. His work bridges High-Performance Computing (HPC) and Artificial Intelligence (AI), focusing on Federated Learning (FL) as a privacy-preserving, scalable solution for AI applications.
- Co-Principal Investigator for FL-as-a-Service platform in TIM Edge & Cloud Continuum IPCEI project
- Recipient of HPC-Europa3 and EuroPar Foundation awards
Research interests center on FL deployment in HPC/cloud environments, including RISC-V hardware exploration for decentralized AI, cross-facility FL workflows, and HPC benchmarking. Publications demonstrate expertise in privacy-preserving AI, edge inference, and medical applications like cardiovascular diagnostics through machine learning.
Article analysis reveals integration of HPC systems with emerging AI architectures (including Large Language Models), with subfields spanning confidential FL, drug-target interaction, survival analysis, and RISC-V AI frameworks. Awards highlight recognition in both HPC and FL domains, while collaborations with Telecom Italia and participation in TEXTAROSSA project underscore industry-academia impact.
- HPC-Europa3 scholarship
- EuroPar foundation studentship
- Best PhD Symposium Award (EuroPar 2023)
- PRAISE Score endorsed by European Society of Cardiology (2023 guidelines)
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