Valentino Peluso

Ricercatore a tempo determinato Legge 240/10 art.24-a
Dipartimento di Automatica e Informatica (DAUIN)

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

Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (In stampa)
Draft & Refine: Efficient Resource Management in Federated Learning under Pathological Labels Skew. In: International Conference on Electronics Circuits and Systems (ICECS) 2024
Contributo in Atti di Convegno (Proceeding)
Peluso, Valentino; Malan, Erich; Calimera, Andrea; Macii, Enrico (In stampa)
Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption. In: International Conference on Computer Design (ICCD) 2024
Contributo in Atti di Convegno (Proceeding)
Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico; Montuschi, Paolo (2024)
Automatic Layer Freezing for Communication Efficiency in Cross-Device Federated Learning. In: IEEE INTERNET OF THINGS JOURNAL, vol. 11, pp. 6072-6083. ISSN 2327-4662
Contributo su Rivista
Zema, Giacomo; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2023)
Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting. In: World AI IoT Congress, Seattle, WA (USA), 07-10 June 2023, pp. 0427-0433. ISBN: 979-8-3503-3761-7
Contributo in Atti di Convegno (Proceeding)
Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico (2023)
Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. In: International Symposium on Low Power Electronics and Design, Vienna (AUT), 07-08 August 2023, pp. 1-6. ISBN: 979-8-3503-1175-4
Contributo in Atti di Convegno (Proceeding)