Chenyuan Feng

According to our database, Chenyuan Feng authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hybrid Learning: When Centralized Learning Meets Federated Learning in the Mobile Edge Computing Systems.

Chenyuan Feng, Howard H. Yang, Siye Wang, Zhongyuan Zhao, Tony Q. S. Quek

IEEE Trans. Commun., December, 2023

Proactive Content Caching Scheme in Urban Vehicular Networks.

Biqian Feng, Chenyuan Feng, Daquan Feng, Yongpeng Wu, Xiang-Gen Xia

IEEE Trans. Commun., July, 2023

Privacy-Preserving Hierarchical Federated Recommendation Systems.

Yucheng Chen, Chenyuan Feng, Daquan Feng

IEEE Commun. Lett., May, 2023

Semi-Synchronous Personalized Federated Learning Over Mobile Edge Networks.

Chaoqun You, Daquan Feng, Kun Guo, Howard H. Yang, Chenyuan Feng, Tony Q. S. Quek

IEEE Trans. Wirel. Commun., April, 2023

Foundation Model Based Native AI Framework in 6G with Cloud-Edge-End Collaboration.

Xiang Chen, Zhiheng Guo, Xijun Wang, Howard H. Yang, Chenyuan Feng, Junshen Su, Sihui Zheng, Tony Q. S. Quek

CoRR, 2023

EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems.

Daquan Feng, Guanxin Huang, Chenyuan Feng, Bin Cao, Zhenzhong Wang, Xiang-Gen Xia

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Privacy-Preserving Mobility-Aware Federated Collaborative Filtering Framework for Caching Prediction in Vehicular Networks.

Xinzhi Ouyang, Chenyuan Feng, Daquan Feng, Howard H. Yang

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Dynamic Partition Caching and Replacement Scheme in the Internet of Vehicles.

Jiaxin Yang, Chenyuan Feng, Wenzhe Shi, Daquan Feng

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Service Decision Mechanism Based On Traffic Flow Prediction in the Internet of Vehicles.

Yanzhe Hu, Chenyuan Feng, Wei Jiang, Wenzhe Shi, Daquan Feng

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022

Federated Learning With Non-IID Data in Wireless Networks.

Zhongyuan Zhao, Chenyuan Feng, Wei Hong, Jiamo Jiang, Chao Jia, Tony Q. S. Quek, Mugen Peng

IEEE Trans. Wirel. Commun., 2022

Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks.

Chenyuan Feng, Howard H. Yang, Deshun Hu, Zhiwei Zhao, Tony Q. S. Quek, Geyong Min

IEEE Trans. Wirel. Commun., 2022

EdgeGO: A Mobile Resource-Sharing Framework for 6G Edge Computing in Massive IoT Systems.

Rong Cong, Zhiwei Zhao, Geyong Min, Chenyuan Feng, Yuhong Jiang

IEEE Internet Things J., 2022

Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent.

Shangyin Weng, Lei Zhang, Daquan Feng, Chenyuan Feng, Ruiyu Wang, Paulo Valente Klaine, Muhammad Ali Imran

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

On the Design of Federated Learning in the Mobile Edge Computing Systems.

Chenyuan Feng, Zhongyuan Zhao, Yidong Wang, Tony Q. S. Quek, Mugen Peng

IEEE Trans. Commun., 2021

Multi-Edge Computing Offloading for Ultra-Reliable and Low-Latency Communication.

Jiayu Chen, Chenyuan Feng, Daquan Feng, Shan Meng

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Federated Learning with User Mobility in Hierarchical Wireless Networks.

Chenyuan Feng, Howard H. Yang, Deshun Hu, Tony Q. S. Quek, Zhiwei Zhao, Geyong Min

Proceedings of the IEEE Global Communications Conference, 2021

On the Convergence Rate of Federated Learning over Unreliable Networks.

Chenyuan Feng, Howard H. Yang, Zihan Chen, Daquan Feng, Zhenzhong Wang, Tony Q. S. Quek

Proceedings of the Computing, Communications and IoT Applications, ComComAp 2021, Shenzhen, 2021

2020

Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends.

Zhongyuan Zhao, Chenyuan Feng, Howard H. Yang, Xueting Luo

IEEE Wirel. Commun., 2020

Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems.

Chenyuan Feng, Yidong Wang, Zhongyuan Zhao, Tony Q. S. Quek, Mugen Peng

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

Attention-based Graph Convolutional Network for Recommendation System.

Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Power control in full duplex networks: Area spectrum efficiency and energy efficency.

Chenyuan Feng, Yi Zhong, Tony Q. S. Quek, Gang Wu

Proceedings of the IEEE International Conference on Communications, 2017