Davide Nadalini

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multimodal On-Device Learning for Monocular Depth Estimation on Ultralow-Power MCUs.
IEEE Internet Things J.
Davide Nadalini, Manuele Rusci, Elia Cereda, Luca Benini, Francesco Conti, Daniele Palossi
2025 J jnl
Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs.
CoRR
Davide Nadalini, Manuele Rusci, Elia Cereda, Luca Benini, Francesco Conti, Daniele Palossi
2025 — conf
Towards DNN Training at the Edge with Direct Feedback Alignment.
CPS Summer School, PhD Workshop
Matteo Lai, Davide Nadalini, Francesco Ratto
2024 — conf
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks.
ISVLSI
Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti
2024 J jnl
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks.
CoRR
Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti
2024 — conf
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units.
CVPR Workshops
Francesco Paissan, Davide Nadalini, Manuele Rusci, Alberto Ancilotto, Francesco Conti, Luca Benini, Elisabetta Farella
2023 J jnl
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers.
CoRR
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
2023 J jnl
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers.
Future Gener. Comput. Syst.
Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti
2022 — conf
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning.
SAMOS
Davide Nadalini, Manuele Rusci, Giuseppe Tagliavini, Leonardo Ravaglia, Luca Benini, Francesco Conti
2021 J jnl
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
2021 J jnl
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays.
CoRR
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini