activity
20092023
most citedDeep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks

53 citations · 303 across the 27 of their papers we have counts for

collaborators

27 papers

cs.CR2023★ 53 cited

Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks

Wenjun Lan, Kongyang Chen, Yikai Li +2

Satellite communication networks have attracted widespread attention for seamless network coverage and collaborative computing. In satellite-terrestrial networks, ground users can…

cs.CL2023★ 17 cited

Generating a Structured Summary of Numerous Academic Papers: Dataset and Method

Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1

Writing a survey paper on one research topic usually needs to cover the salient content from numerous related papers, which can be modeled as a multi-document summarization (MDS) t…

cs.CR2022★ 1 cited

Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions

Houda Ferradi, Jiannong Cao, Shan Jiang +2

Big Data Sharing (BDS) refers to the act of the data owners to share data so that users can find, access and use data according to the agreement. In recent years, BDS has been an e…

cs.DC2022★ 6 cited

High-efficiency Blockchain-based Supply Chain Traceability

Hanqing Wu, Shan Jiang, Jiannong Cao

Supply chain traceability refers to product tracking from the source to customers, demanding transparency, authenticity, and high efficiency. In recent years, blockchain has been w…

cs.NI2022★ 1 cited

ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing

Mingjin Zhang, Jiannong Cao, Lei Yang +3

Collaborative edge computing (CEC) is an emerging paradigm enabling sharing of the coupled data, computation, and networking resources among heterogeneous geo-distributed edge node…

cs.NI2022

EaaS: A Service-Oriented Edge Computing Framework Towards Distributed Intelligence

Mingjin Zhang, Jiannong Cao, Yuvraj Sahni +3

Edge computing has become a popular paradigm where services and applications are deployed at the network edge closer to the data sources. It provides applications with outstanding…