LG

Lucas Grativol Ribeiro

5
Documents
Affiliations actuelles
  • Département Mathematical and Electrical Engineering (IMT Atlantique - MEE)
  • Equipe Better Representations for Artificial Intelligence (Lab_STICC_BRAIn)
  • Equipe Algorithm Architecture Interactions (Lab-STICC_2AI)
  • Laboratoire Hubert Curien (LabHC)
Identifiants chercheurs
Contact

Publications

Publications

Image document

PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC

Lucas Grativol , Lubin Gauthier , Mathieu Leonardon , Jérémy Morlier , Antoine Lavrard-Meyer et al.
ISCAS 2024 : IEEE International Symposium on Circuits and Systems, May 2024, Singapore, Singapore. ⟨10.1109/ISCAS58744.2024.10557995⟩
Communication dans un congrès hal-04559365 v1
Image document

FLoCoRA: Federated Learning Compression With Low-Rank Adaptation

Lucas Grativol , Mathieu Leonardon , Guillaume Muller , Virginie Fresse , Matthieu Arzel
EUSIPCO 2024: 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨10.23919/EUSIPCO63174.2024.10715461⟩
Communication dans un congrès hal-04617632 v1
Image document

Federated learning compression designed for lightweight communications

Lucas Grativol , Mathieu Leonardon , Guillaume Muller , Virginie Fresse , Matthieu Arzel
ICECS 2023: IEEE 30th International Conference on Electronics, Circuits and Systems, Dec 2023, Istanbul, Turkey. ⟨10.1109/ICECS58634.2023.10382717⟩
Communication dans un congrès hal-04251969 v1
Image document

Compression de réseaux de neurones pour l'apprentissage fédéré

Lucas Grativol , Mathieu Leonardon , Guillaume Muller , Virginie Fresse , Matthieu Arzel
GRETSI 2023 : XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
Communication dans un congrès emse-04217775 v1
Image document

Compression Study on Federated Learning

Lucas Grativol , Mathieu Leonardon , Guillaume Muller , Virginie Fresse , Matthieu Arzel
Assemblée Générale 2023 du GdR ISIS, May 2023, Lyon, France
Poster de conférence hal-04251991 v1