Davide Nadalini

Orcid: 0000-0002-8003-7633

According to our database1, Davide Nadalini authored at least 5 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units.
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.
Future Gener. Comput. Syst., December, 2023

2022
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022

2021
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021


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