With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

On-device large language models (LLMs), referring to running LLMs on edge devices, have
raised considerable interest since they are more cost-effective, latency-efficient, and privacy …

With the breakthroughs in deep learning, the recent years have witnessed a booming of
artificial intelligence (AI) applications and services, spanning from personal assistant to …

We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …

Influenced by the great success of deep learning via cloud computing and the rapid
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …

In this paper, we study online deadline-aware task dispatching and scheduling in edge
computing. We jointly consider management of the networking bandwidth and computing …

The quantity and heterogeneity of intelligent energy generation and consumption terminals
in the smart grid are increasing drastically over the years. These edge devices have created …

The key to the explosion of the Internet of Things and the ability to collect, analyze, and
provide big data in the cloud is edge computing, which is a new computing paradigm in …

In this article, we study online deadline-aware task dispatching and scheduling in edge
computing. We jointly considerthe management of the networking and computing resources …