2 papers
cs.LG2024
FLoCoRA: Federated learning compression with low-rank adaptation
Lucas Grativol Ribeiro, Mathieu Leonardon, Guillaume Muller +2
Low-Rank Adaptation (LoRA) methods have gained popularity in efficient parameter fine-tuning of models containing hundreds of billions of parameters. In this work, instead, we demo…
cs.AR2024
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC
Lucas Grativol Ribeiro, Lubin Gauthier, Mathieu Leonardon +5
This paper tackles the challenges of implementing few-shot learning on embedded systems, specifically FPGA SoCs, a vital approach for adapting to diverse classification tasks, espe…