Foto del docente

Davide Nadalini

PhD Student

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Research fellow

"Ercole De Castro" Research Centre on Electronic Systems for Information and Communication Technologies

Teaching tutor

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Academic discipline: ING-INF/01 Electronic Engineering

Publications

Dequino, Alberto; Carpegna, Alessio; Nadalini, Davide; Savino, Alessandro; Benini, Luca; Di Carlo, Stefano; Conti, Francesco, Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks, in: Titolo volume non avvalorato, 2024, 1, pp. 240 - 245 (atti di: 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, TN, USA, 01-03 July 2024) [Contribution to conference proceedings]

Paissan, F.; Nadalini, D.; Rusci, M.; Ancilotto, A.; Conti, F.; Benini, L.; Farella, E., Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, 2024, pp. 2172 - 2181 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024, Seattle, WA, USA, 17-18 June 2024) [Contribution to conference proceedings]

Nadalini, D; Rusci, M; Benini, L; Conti, F, Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers, «FUTURE GENERATION COMPUTER SYSTEMS», 2023, 149, pp. 212 - 226 [Scientific article]

Nadalini D.; Rusci M.; Tagliavini G.; Ravaglia L.; Benini L.; Conti F., PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning, in: Embedded Computer Systems: Architectures, Modeling, and Simulation, Springer, 2022, 13511, pp. 200 - 216 (atti di: 22nd International Conference, SAMOS 2022, Samos, Greece, July 3–7, 2022) [Contribution to conference proceedings]Open Access

Ravaglia L.; Rusci M.; Nadalini D.; Capotondi A.; Conti F.; Benini L., A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays, «IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS», 2021, 11, Article number: 9580920 , pp. 789 - 802 [Scientific article]Open Access

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