ElasticDNN: On-device neural network remodeling for adapting evolving vision domains at edge

Q Zhang, R Han, CH Liu, G Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Executing deep neural networks (DNN) based vision tasks on edge devices encounters
challenging scenarios of significant and continually evolving data domains (eg background …

EdgeTA: Neuron-grained Scaling of Foundation Models in Edge-side Retraining

Q Zhang, R Han, CH Liu, G Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Foundation models (FMs) such as large language models are becoming the backbone
technology for artificial intelligence systems. It is particularly challenging to deploy multiple …

RobustDA: Lightweight Robust Domain Adaptation for Evolving Data at Edge

X Guo, X Zuo, R Han, J Ouyang, J **e… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
AI applications powered by deep learning models are increasingly run natively at edge. A
deployed model not only encounters continuously evolving input distributions (domains) but …