20 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 20 cited
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget
Kun Wang, Jiani Cao, Zimu Zhou +1
Executing deep neural networks (DNNs) on edge artificial intelligence (AI) devices enables various autonomous mobile computing applications. However, the memory budget of edge AI d…
cs.LG2024★ 1 cited
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
Lixiang Han, Zhen Xiao, Zhenjiang Li
DTMM is a library designed for efficient deployment and execution of machine learning models on weak IoT devices such as microcontroller units (MCUs). The motivation for designing…