2024
Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization
ICASSP 2024accepted
Accuracy drop in neural quantization is addressed in prior-art through Post Training Quantization (PTQ) schemes such as Percentile and Range-based calibration that remain sensitive to the data distribution. On the other hand, the sophisticated methods that efficiently handle the variability in data…