AI RESEARCH
PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs
arXiv CS.LG
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ArXi:2605.06082v1 Announce Type: cross Power-of-two (PoT) quantization significantly reduces the size of deep neural networks (DNNs) and replaces multiplications with bit-shift operations for inference. Prior work has shown that PoT-quantized DNNs can preserve accuracy for tasks such as image classification; however, their performance on resource-constrained edge devices remains insufficiently understood.