ElasticDNN: On-device neural network remodeling for adapting evolving vision domains at edge
Executing deep neural networks (DNN) based vision tasks on edge devices encounters
challenging scenarios of significant and continually evolving data domains (eg background …
challenging scenarios of significant and continually evolving data domains (eg background …
EdgeTA: Neuron-grained Scaling of Foundation Models in Edge-side Retraining
Foundation models (FMs) such as large language models are becoming the backbone
technology for artificial intelligence systems. It is particularly challenging to deploy multiple …
technology for artificial intelligence systems. It is particularly challenging to deploy multiple …
RobustDA: Lightweight Robust Domain Adaptation for Evolving Data at Edge
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 …
deployed model not only encounters continuously evolving input distributions (domains) but …