Chao Li

Orcid: 0000-0002-7911-9447

Affiliations:
  • Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, China


According to our database1, Chao Li authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Federated Hierarchical Trust-Based Interaction Scheme for Cross-Domain Industrial IoT.
IEEE Internet Things J., 2023

High-Precision Cluster Federated Learning for Smart Home: An Edge-Cloud Collaboration Approach.
IEEE Access, 2023

Attribute-based Blockchain Dynamic Failure Traceability in Multi-vendor Disaggregated Optical Networks.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

High-Precision Deterministic Networks-based Federated Learning Scheme in Metro Optical Network.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

An Efficient and Verifiable Polynomial Cross-chain Outsourcing Calculation Scheme for IoT.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
BrainIoT: Brain-Like Productive Services Provisioning With Federated Learning in Industrial IoT.
IEEE Internet Things J., 2022

Blockchain-Enabled Tripartite Anonymous Identification Trusted Service Provisioning in Industrial IoT.
IEEE Internet Things J., 2022

Cloud-Edge Collaboration in Industrial Internet of Things: A Joint Offloading Scheme Based on Resource Prediction.
IEEE Internet Things J., 2022

2021
High-Precision Edge-Cloud Collaboration with Federated Learning in Edge Optical Network.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

A Secure Device Access Based on Blockchain for IoT in Smart City.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

2020
Spearman Correlation Coefficient Abnormal Behavior Monitoring Technology Based on RNN in 5G Network for Smart City.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020


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