Valentino Peluso

ERC sectors

SDG

Open badges

• RIMINI SCHOOL 2025 “SUCCESSFULLY PARTICIPATE IN CALLS FOR RESEARCH FUNDING”
  Issued by Politecnico di Torino on 13-05-2025
• Learning to Teach (L2T)
  Issued by Politecnico di Torino on 06-06-2024

• IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS (2025-), Associate Editor of magazine or editorial series

• 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC) (8/7/2025-11/7/2025), Organizer of the Workshop "5th International Workshop on Rising ICT Solutions for Smart Grids as Multi-energy Systems (ICT4SmartGrid)"
• 1st IEEE Latin American Conference on Internet of Things (LC-IoT) (23/4/2025-25/4/2025), Co-Chair of the Track "ML and Data Processing for IOT"
• IEEE 42nd International Conference on Computer Design (ICCD) (18/11/2024-20/11/2024), Chair of the Session "Advancements in Hardware Architectures"
• 31st IEEE International Conference on Electronics Circuits and Systems (ICECS) (18/11/2024-20/11/2024), Co-chair of the Track "EDA/CAD, Test and Reliability"
• 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS) (24/10/2022-26/10/2022), Program committee
• IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC) (3/10/2022-5/10/2022), Program committee
• 29th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) (4/10/2021-7/10/2021), Website Co-Chair
• 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS) (23/11/2020-25/11/2020), Program committee

• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

PhD

• High-Level Synthesis. A.A. 2024/25, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher

Master of Science

• Synthesis and optimization of digital systems. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Efficient Computing for Artificial Intelligence. A.A. 2025/26, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Machine learning for IOT. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Synthesis and optimization of digital systems. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning for IOT. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Synthesis and optimization of digital systems. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning for IOT. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Synthesis and optimization of digital systems. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning for IOT. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Synthesis and optimization of digital systems. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning for IOT. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Projects funded by commercial contracts

• Corso di formazione su addestramento di algoritmi di Machine Learning, (2025-2026) - Responsabile Scientifico
  Commercial contracts

• Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (In stampa)
  Gradient-Aware Participation for Energy Reduction in Federated Learning with Extreme Label Skew. In: International Joint Conference on Neural Networks (IJCNN), Rome (ITA), June 30-July 5, 2025
  Contributo in Atti di Convegno (Proceeding)
• Malan, Erich; De Vizia, Claudia; Castangia, Marco; Peluso, Valentino; Calimera, Andrea; ... (2025)
  Privacy-Preserving Federated Learning for Household Characteristic Identification. In: 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), Toronto ON (CAN), 08-11 July 2025, pp. 2040-2045. ISBN: 979-8-3315-7434-5
  Contributo in Atti di Convegno (Proceeding)
• Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2025)
  Adaptive Client Participation in Budget-Constrained Federated Learning with Extreme Label Skew. In: 2025 23rd IEEE Interregional NEWCAS Conference (NEWCAS), Paris (FRA), 22-25 June 2025, pp. 15-19. ISBN: 979-8-3315-3256-7
  Contributo in Atti di Convegno (Proceeding)
• Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2025)
  Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning. In: IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE. ISSN 2691-4581
  Contributo su Rivista
• Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2024)
  Draft & Refine: Efficient Resource Management in Federated Learning under Pathological Labels Skew. In: International Conference on Electronics Circuits and Systems (ICECS) 2024, Nancy (FRA), 18-20 November 2024, pp. 1-4. ISBN: 979-8-3503-7720-0
  Contributo in Atti di Convegno (Proceeding)

• Stima di profondità a ridotto consumo di potenza, e altri segnali da singola immagine. national and international Patent
  Inventors: Andrea Calimera Antonio Cipolletta Valentino Peluso