14 citations · 36 across the 26 of their papers we have counts for
3 papers · 1 filter
MobileTL: On-device Transfer Learning with Inverted Residual Blocks
Hung-Yueh Chiang, Natalia Frumkin, Feng Liang +1
Transfer learning on edge is challenging due to on-device limited resources. Existing work addresses this issue by training a subset of parameters or adding model patches. Develope…
Play It Cool: Dynamic Shifting Prevents Thermal Throttling
Yang Zhou, Feng Liang, Ting-wu Chin +1
Machine learning (ML) has entered the mobile era where an enormous number of ML models are deployed on edge devices. However, running common ML models on edge devices continuously…
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks
Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
Slimmable neural networks provide a flexible trade-off front between prediction error and computational requirement (such as the number of floating-point operations or FLOPs) with…