activity
20182023
most citedConvergence of Edge Computing and Deep Learning: A Comprehensive Survey

1.5k citations · 2.7k across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2023★ 90 cited

Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT

Shihao Shen, Yiwen Han, Xiaofei Wang +1

With the development of the Internet of Things (IoT) and the birth of various new IoT devices, the capacity of massive IoT devices is facing challenges. Fortunately, edge computing…

cs.DC2023★ 20 cited

Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network

Shihao Shen, Yiwen Han, Xiaofei Wang +2

Kubernetes (k8s) has the potential to coordinate distributed edge resources and centralized cloud resources, but currently lacks a specialized scheduling framework for edge-cloud n…

cs.DC2021★ 5 cited

Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System

Yiwen Han, Shihao Shen, Xiaofei Wang +2

Kubernetes (k8s) has the potential to merge the distributed edge and the cloud but lacks a scheduling framework specifically for edge-cloud systems. Besides, the hierarchical distr…

cs.NI2019★ 1.5k cited

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Xiaofei Wang, Yiwen Han, Victor C. M. Leung +3

Ubiquitous sensors and smart devices from factories and communities are generating massive amounts of data, and ever-increasing computing power is driving the core of computation a…

cs.NI2018★ 1.1k cited

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

Xiaofei Wang, Yiwen Han, Chenyang Wang +3

Recently, along with the rapid development of mobile communication technology, edge computing theory and techniques have been attracting more and more attentions from global resear…