2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
ICLR 2022poster
Quantization of deep neural networks (DNN) has been proven effective for compressing and accelerating DNN models. Data-free quantization (DFQ) is a promising approach without the original datasets under privacy-sensitive and confidential scenarios. However, current DFQ solutions degrade accuracy, ne…