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Found 2 papers, 1 papers with code
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC
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, especially when the costs of data acquisition or labeling prove to be prohibitively high.
Federated learning compression designed for lightweight communications
Federated Learning (FL) is a promising distributed method for edge-level machine learning, particularly for privacysensitive applications such as those in military and medical domains, where client data cannot be shared or transferred to a cloud computing server.
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