Yuxuan Wang
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2026
FQA: A Full-Space Quantization-Driven Architecture for Hardware-Efficient Piecewise Approximation of Nonlinear Activation Functions
This paper introduces a novel full-space quantization-driven architecture (FQA) to create highly efficient and accurate hardware approximations of nonlinear activation functions using piecewise polynomial approximations (PPAs).
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