121 citations · 306 across the 17 of their papers we have counts for
17 papers
Satellite Computing: A Case Study of Cloud-Native Satellites
Chao Wang, Yiran Zhang, Qing Li +2
The on-orbit processing of massive satellite-native data relies on powerful computing power. Satellite computing has started to gain attention, with researchers proposing various a…
From Earth to Space: A First Deployment of 5G Core Network on Satellite
Ruolin Xing, Xiao Ma, Ao Zhou +2
Recent developments in the aerospace industry have led to a dramatic reduction in the manufacturing and launch costs of low Earth orbit satellites. The new trend enables the paradi…
Towards Sustainable Satellite Edge Computing
Qing Li, Shangguang Wang, Xiao Ma +2
Recently, Low Earth Orbit (LEO) satellites experience rapid development and satellite edge computing emerges to address the limitation of bent-pipe architecture in existing satelli…
Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network
Chao Wang, Lei Liu, Chunxiao Jiang +3
Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The effective management of SAGIN resources is a prerequisite for high-reliability communication…
Benchmarking of DL Libraries and Models on Mobile Devices
Qiyang Zhang, Xiang Li, Xiangying Che +6
Deploying deep learning (DL) on mobile devices has been a notable trend in recent years. To support fast inference of on-device DL, DL libraries play a critical role as algorithms…
Tiansuan Constellation: An Open Research Platform
Shangguang Wang, Qing Li, Mengwei Xu +3
Satellite network is the first step of interstellar voyages. It can provide global Internet connectivity everywhere on earth, where most areas cannot access the Internet by the ter…
Artificial Intelligence Powered Mobile Networks: From Cognition to Decision
Guiyang Luo, Quan Yuan, Jinglin Li +2
Mobile networks (MN) are anticipated to provide unprecedented opportunities to enable a new world of connected experiences and radically shift the way people interact with everythi…
From Cloud to Edge: A First Look at Public Edge Platforms
Mengwei Xu, Zhe Fu, Xiao Ma +7
Public edge platforms have drawn increasing attention from both academia and industry. In this study, we perform a first-of-its-kind measurement study on a leading public edge plat…
Hierarchical Federated Learning through LAN-WAN Orchestration
Jinliang Yuan, Mengwei Xu, Xiao Ma +3
Federated learning (FL) was designed to enable mobile phones to collaboratively learn a global model without uploading their private data to a cloud server. However, exiting FL pro…
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
Chengxu Yang, Qipeng Wang, Mengwei Xu +4
Federated learning (FL) is an emerging, privacy-preserving machine learning paradigm, drawing tremendous attention in both academia and industry. A unique characteristic of FL is h…
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin +7
Countries across the globe have been pushing strict regulations on the protection of personal or private data collected. The traditional centralized machine learning method, where…
Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing
Xiao Ma, Ao Zhou, Shan Zhang +1
Mobile edge computing is beneficial to reduce service response time and core network traffic by pushing cloud functionalities to network edge. Equipped with storage and computation…
Security modeling and efficient computation offloading for service workflow in mobile edge computing
Binbin Huang, Zhongjin Lia, Peng Tang +5
It is a big challenge for resource-limited mobile devices (MDs) to execute various complex and energy-consumed mobile applications. Fortunately, as a novel computing paradigm, edge…
A Blockchain-enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing
Jinliang Xu, Shangguang Wang, Bharat K. Bhargava +1
Crowd-intelligence tries to gather, process, infer and ascertain massive useful information by utilizing the intelligence of crowds or distributed computers, which has great potent…
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing
Shangguang Wang, Chuntao Ding, Ning Zhang +3
This article proposes an edge content delivery framework (ECD) based on mobile edge computing in the era of Internet of Things (IOT), to alleviate the load of the core network and…
Cognitive Inference of Demographic Data by User Ratings
Jinliang Xu, Shangguang Wang, Fangchun Yang +1
Cognitive inference of user demographics, such as gender and age, plays an important role in creating user profiles for adjusting marketing strategies and generating personalized r…
Multiple User Context Inference by Fusing Data Sources
Jinliang Xu, Shangguang Wang, Fangchun Yang +1
Inference of user context information, including user's gender, age, marital status, location and so on, has been proven to be valuable for building context aware recommender syste…