Alberto Dequino

Dottorando in Intelligenza Artificiale , 37^o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)

Embedded systems

Green networking, sustainable networks, machine learning for networking,

Machine learning

Transformer

Ultra low power

Dequino, Alberto; Bompani, Luca; Benini, Luca; Conti, Francesco (2025)
Optimizing BFloat16 Deployment of Tiny Transformers on Ultra-Low Power Extreme Edge SoCs. In: JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, vol. 15. ISSN 2079-9268
Contributo su Rivista
Dequino, Alberto; Carpegna, Alessio; Nadalini, Davide; Savino, Alessandro; Benini, Luca; ... (2024)
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. In: 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, TN (USA), 01-03 July 2024, pp. 240-245. ISBN: 979-8-3503-5411-9
Contributo in Atti di Convegno (Proceeding)
Dequino, A; Conti, Francesco; Benini, Luca (2022)
ViT-LR: Pushing the Envelope for Transformer-Based On-Device Embedded Continual Learning. In: 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), Pittsburgh, PA (USA), 24-25 October 2022, pp. 1-6. ISBN: 978-1-6654-6550-2
Contributo in Atti di Convegno (Proceeding)
Burrello, Alessio; Dequino, Alberto; Jahier Pagliari, Daniele; Conti, Franceso; ... (2021)
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. In: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, USA, 2021, pp. 1-6. ISBN: 978-1-6654-3922-0
Contributo in Atti di Convegno (Proceeding)