Yryskeldi Siddi

Integrating AutoML and FPGA Deployment: A Pipeline for Model Selection and Hardware-Aware Implementation

The increasing demand for real-time, energy-efficient machine learning (ML) models in edge and embedded scenarios highlights the limitations of traditional CPU-based inference pipelines. This work presents a pipeline that integrates Automated Machine Learning (AutoML) with High-Level Synthesis (HLS) to enable efficient...