Sensing and computing based on intelligent fabrics can meet the ultra-reliable and low-
latency communication (URLLC) needs of sixth-generation wireless (6G) by integrating …

Recent years have witnessed many immersive media services and applications, ranging
from 360° video streaming to augmented and virtual reality (VR) and the recent metaverse …

While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …

Recent advancements in language models (LMs) have gained substantial attentions on their
capability to generate human-like responses. Though exhibiting a promising future for …

Autonomous robotic systems, like autonomous vehicles and robotic search and rescue,
require efficient on-device training for continuous adaptation of Deep Reinforcement …

Abstract Deep Neural Network (DNN) based video analytics empowers many computer
vision-based applications to achieve high recognition accuracy. To reduce inference delay …

Deep Neural Network (DNN)-based video analytics significantly improves recognition
accuracy in computer vision applications. Deploying DNN models at edge nodes, closer to …

In vehicular edge computing, efficient strategies for model deployment and task offloading
offer tremendous potential to reduce response time for machine learning inference …

Pretrained Foundation Models (PFMs) are regarded as a promising accelerator for the
development of various Artificial Intelligence (AI) applications, and have recently been …

Deep neural networks are the cornerstone of many mobile intelligent systems, and their
inference processes bring about computation-intensive tasks. Device-edge cooperative …