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IEEE/ICACT20260019 Slide.08
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Figure 1 illustrates the end-to-end machine learning pipeline used in this work. While the structure follows a standard ML workflow, each stage is designed with SmartNIC deployment constraints in mind, particularly during feature selection and inference. This ensures that the pipeline remains compatible with strict latency and resource limitations. | |
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