Ph.D. in Intelligenza Artificiale , 37th cycle (2021-2024)
Ph.D. obtained in 2025
Dissertation:
Enabling Hardware-efficient On-Device Learning on Microcontroller-powered Ultra-low-power IoT Nodes (Abstract)
Tutors:
Luca BeniniFrancesco ContiPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Nadalini, Davide (2025)
Enabling Hardware-efficient On-Device Learning on Microcontroller-powered Ultra-low-power IoT Nodes. relatore: BENINI, LUCA; CONTI, FRANCESCO; , 37. XXXVII Ciclo, P.: 150
Doctoral Thesis - Paissan, Francesco; Nadalini, Davide; Rusci, Manuele; Ancilotto, Alberto; Conti, ... (2024)
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA (USA), 17-18 June 2024, pp. 2172-2181. ISBN: 979-8-3503-6547-4
Contributo in Atti di Convegno (Proceeding) - 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) - Nadalini, Davide; Rusci, Manuele; Benini, Luca; Conti, Francesco (2023)
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers. In: FUTURE GENERATION COMPUTER SYSTEMS, vol. 149, pp. 212-226. ISSN 0167-739X
Contributo su Rivista - Nadalini, Davide; Rusci, Manuele; Tagliavini, Giuseppe; Ravaglia, Leonardo; Benini, ... (2022)
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning. In: 22nd International Conference, SAMOS 2022, Samos, Greece, July 3–7, 2022, pp. 200-216. ISSN 0302-9743. ISBN: 978-3-031-15073-9
Contributo in Atti di Convegno (Proceeding) - Ravaglia, Leonardo; Rusci, Manuele; Nadalini, Davide; Capotondi, Alessandro; Conti, ... (2021)
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays. In: IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, vol. 11, pp. 789-802. ISSN 2156-3365
Contributo su Rivista