Davide Nadalini

Thesis title

Enabling Hardware-efficient On-Device Learning on Microcontroller-powered Ultra-low-power IoT Nodes

Tutors

• Luca Benini
• Francesco Conti

• 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