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Marco Carpentiero
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2020 – today
- 2024
- [c6]Marco Carpentiero, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Social Learning with Adaptive Models. ICASSP 2024: 9351-9355 - [i4]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Differential error feedback for communication-efficient decentralized learning. CoRR abs/2406.18418 (2024) - 2023
- [j2]Roula Nassif
, Stefan Vlaski
, Marco Carpentiero
, Vincenzo Matta
, Marc Antonini, Ali H. Sayed
:
Quantization for Decentralized Learning Under Subspace Constraints. IEEE Trans. Signal Process. 71: 2320-2335 (2023) - [c5]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Compressed Distributed Regression over Adaptive Networks. ICASSP 2023: 1-5 - [i3]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Compressed Regression over Adaptive Networks. CoRR abs/2304.03638 (2023) - 2022
- [j1]Marco Carpentiero, Gemine Vivone
, Rocco Restaino
, Paolo Addesso
, Jocelyn Chanussot
:
An Optimization Procedure for Robust Regression-Based Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c4]Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. EUSIPCO 2022: 1851-1855 - [c3]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Adaptive Diffusion with Compressed Communication. ICASSP 2022: 5672-5676 - [i2]Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Marc Antonini, Ali H. Sayed:
Quantization for decentralized learning under subspace constraints. CoRR abs/2209.07821 (2022) - 2021
- [i1]Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Distributed Adaptive Learning Under Communication Constraints. CoRR abs/2112.02129 (2021)
2010 – 2019
- 2017
- [c2]Marco Carpentiero, Luca Gugliermetti
, Marco Sabatini
, Giovanni B. Palmerini:
A swarm of wheeled and aerial robots for environmental monitoring. ICNSC 2017: 90-95 - 2016
- [c1]Luca Gugliermetti
, Marco Sabatini
, Giovanni B. Palmerini, Marco Carpentiero:
Air quality monitoring by means of a miniaturized sensor onboard an autonomous wheeled rover. ISC2 2016: 1-4
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