5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training
Qitao Tan, Sung-En Chang, Rui Xia +10
Zeroth-order (ZO) optimization is an emerging deep neural network (DNN) training paradigm that offers computational simplicity and memory savings. However, this seemingly promising…
cs.AR2017★ 5 cited
A Low-Power Accelerator for Deep Neural Networks with Enlarged Near-Zero Sparsity
Yuxiang Huan, Yifan Qin, Yantian You +2
It remains a challenge to run Deep Learning in devices with stringent power budget in the Internet-of-Things. This paper presents a low-power accelerator for processing Deep Neural…