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ORCIDDavide Nadalini
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2020 – today
- 2026
[j3]Davide Nadalini
, Manuele Rusci, Elia Cereda, Luca Benini, Francesco Conti, Daniele Palossi:
Multimodal On-Device Learning for Monocular Depth Estimation on Ultralow-Power MCUs. IEEE Internet Things J. 13(4): 6587-6600 (2026)- 2025
- [c4]Matteo Lai, Davide Nadalini, Francesco Ratto:
Towards DNN Training at the Edge with Direct Feedback Alignment. CPS Summer School, PhD Workshop 2025 - [i4]Davide Nadalini, Manuele Rusci, Elia Cereda, Luca Benini, Francesco Conti, Daniele Palossi:
Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs. CoRR abs/2512.00086 (2025) - 2024
- [c3]Francesco Paissan, Davide Nadalini, Manuele Rusci, Alberto Ancilotto, Francesco Conti, Luca Benini, Elisabetta Farella:
Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units. CVPR Workshops 2024: 2172-2181 - [c2]Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti:
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. ISVLSI 2024: 240-245 - [i3]Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti:
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. CoRR abs/2407.03111 (2024) - 2023
- [j2]Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti:
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers. Future Gener. Comput. Syst. 149: 212-226 (2023) - [i2]Davide Nadalini, Manuele Rusci, Luca Benini, Francesco Conti:
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers. CoRR abs/2305.19167 (2023) - 2022
- [c1]Davide Nadalini, Manuele Rusci, Giuseppe Tagliavini, Leonardo Ravaglia, Luca Benini, Francesco Conti:
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning. SAMOS 2022: 200-216 - 2021
- [j1]Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini:
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 789-802 (2021) - [i1]Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini:
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays. CoRR abs/2110.10486 (2021)
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