Davide Nadalini

Orcid: 0000-0002-8003-7633

According to our database¹, Davide Nadalini authored at least 8 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Multimodal On-Device Learning for Monocular Depth Estimation on Ultralow-Power MCUs.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2026

2025

Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs.

[BibT_eX]

[DOI]

CoRR, December, 2025

Towards DNN Training at the Edge with Direct Feedback Alignment.

[BibT_eX]

[DOI]

Matteo Lai

Davide Nadalini

Francesco Ratto

Proceedings of the CPS Summer School PhD Workshop "Designing Cyber-Physical Systems, 2025

2024

Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., December, 2023

2022

PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning.

[BibT_eX]

[DOI]

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022

2021

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Davide Nadalini

Timeline

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Links

On csauthors.net:

Bibliography

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