Sabnis, Shreyas

Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training

2025 · arXiv (Cornell University)

Efficient inference is critical for deploying deep learning models on edge AI devices. Low-bit quantization (e.g., 3- and 4-bit) with fixed-point arithmetic improves efficiency, while low-power memory technologies like analog nonvolatile memory enable further gains. …