• Exploring investment strategies for federated learning infrastructure in medical care 

  Xing, J; Zhang, X; Jiang, Z; et al. (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Recently, federated learning has gained substantial attention in medical care where privacy-preserving cooperation among hospitals is required. However, in a real-world situation, the deployment of a federated learning ...

• Policy network assisted Monte Carlo Tree search for intelligent service function chain deployment 

  Fu, Z; Fan, Q; Zhang, X; et al. (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Network function virtualization (NFV) simplifies the configuration and management of security services by migrating the network security functions from dedicated hardware devices to software middle-boxes that run on ...

• A Light-Weight Statistical Latency Measurement Platform at Scale 

  Zhang, X; Min, G; Fan, Q; et al. (Institute of Electrical and Electronics Engineers, 2021)

  The statistical value of latencies between two sets of hosts over a given period, which is referred as to the statistical latency, can benefit many applications in the next-generation networks, for example, Network in a ...

• Graph Neural Networks for Anomaly Detection in Industrial Internet of Things 

  Wu, Y; Dai, H-N; Tang, H (Institute of Electrical and Electronics Engineers, 2 July 2021)

  The Industrial Internet of Things (IIoT) plays an important role in digital transformation of traditional industries towards Industry 4.0. By connecting sensors, instruments and other industry devices to the Internet, IIoT ...

• Maximal Multipolarized Cliques Search in Signed Networks 

  Gao, J; Hao, F; Min, G; et al. (Association for Computing Machinery (ACM), 11 July 2021)

  The increasing of group polarization on social media seriously impacts on the health of public discourse and information dissemination. At present, detecting polarized structures in signed networks is well-motivated for ...

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