Renwan Bi

Orcid: 0000-0002-0926-3929

According to our database1, Renwan Bi authored at least 14 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Privacy-Preserving Outsourcing Learning for Connected Autonomous Vehicles: Challenges, Solutions, and Perspectives.
IEEE Netw., May, 2024

Communication-Efficient Privacy-Preserving Neural Network Inference via Arithmetic Secret Sharing.
IEEE Trans. Inf. Forensics Secur., 2024

Achieving lightweight, efficient, privacy-preserving user recruitment in mobile crowdsensing.
J. Inf. Secur. Appl., 2024

Achieving dynamic privacy measurement and protection based on reinforcement learning for mobile edge crowdsensing of IoT.
Digit. Commun. Networks, 2024

Knowledge Distillation Enables Federated Learning: A Data-free Federated Aggregation Scheme.
Proceedings of the International Joint Conference on Neural Networks, 2024

LSTN: A Lightweight Secure Three-Party Inference Framework for Deep Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Outsourced and Privacy-Preserving Collaborative k-Prototype Clustering for Mixed Data via Additive Secret Sharing.
IEEE Internet Things J., September, 2023

Achieving Lightweight and Privacy-Preserving Object Detection for Connected Autonomous Vehicles.
IEEE Internet Things J., February, 2023

2022
Edge-Cooperative Privacy-Preserving Object Detection Over Random Point Cloud Shares for Connected Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Toward Lightweight, Privacy-Preserving Cooperative Object Classification for Connected Autonomous Vehicles.
IEEE Internet Things J., 2022

Secure YOLOv3-SPP: Edge-Cooperative Privacy-preserving Object Detection for Connected Autonomous Vehicles.
Proceedings of the International Conference on Networking and Network Applications, 2022

Outsourced and Practical Privacy-Preserving K-Prototype Clustering supporting Mixed Data.
Proceedings of the IEEE International Conference on Communications, 2022

2020
A Privacy-Preserving Personalized Service Framework through Bayesian Game in Social IoT.
Wirel. Commun. Mob. Comput., 2020

Edge-Assisted Privacy-Preserving Raw Data Sharing Framework for Connected Autonomous Vehicles.
IEEE Wirel. Commun., 2020


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