Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends by Zhao, Zhongyuan, Feng, Chenyuan, Yang, Howard H., Luo, Xueting

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Two-Timescale Adaptive Live Video Streaming Transmission Mechanism for Vehicular Networks by Feng, Biqian, Feng, Chenyuan, Min, Geyong, Quek, Tony Q. S.

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Privacy-Preserving Hierarchical Federated Recommendation Systems by Chen, Yucheng, Feng, Chenyuan, Feng, Daquan

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Power control in full duplex networks: Area spectrum efficiency and energy efficency by Chenyuan Feng, Yi Zhong, Quek, Tony Q. S., Gang Wu

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Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks by Feng, Chenyuan, Yang, Howard H., Hu, Deshun, Zhao, Zhiwei, Quek, Tony Q. S., Min, Geyong

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EdgeGO: A Mobile Resource-Sharing Framework for 6G Edge Computing in Massive IoT Systems by Cong, Rong, Zhao, Zhiwei, Min, Geyong, Feng, Chenyuan, Jiang, Yuhong

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Federated Learning With Non-IID Data in Wireless Networks by Zhao, Zhongyuan, Feng, Chenyuan, Hong, Wei, Jiang, Jiamo, Jia, Chao, Quek, Tony Q. S., Peng, Mugen

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Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning by Feng, Chenyuan, Feng, Daquan, Huang, Guanxin, Liu, Zuozhu, Wang, Zhenzhong, Xia, Xiang-Gen

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Proactive Content Caching Scheme in Urban Vehicular Networks by Feng, Biqian, Feng, Chenyuan, Feng, Daquan, Wu, Yongpeng, Xia, Xiang-Gen

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On the Design of Federated Learning in the Mobile Edge Computing Systems by Feng, Chenyuan, Zhao, Zhongyuan, Wang, Yidong, Quek, Tony Q. S., Peng, Mugen

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Semi-Synchronous Personalized Federated Learning Over Mobile Edge Networks by You, Chaoqun, Feng, Daquan, Guo, Kun, Yang, Howard H., Feng, Chenyuan, Quek, Tony Q. S.

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Hybrid Learning: When Centralized Learning Meets Federated Learning in the Mobile Edge Computing Systems by Feng, Chenyuan, Yang, Howard H., Wang, Siye, Zhao, Zhongyuan, Quek, Tony Q. S.

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Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach by Li, Shujing, Wang, Yanhu, Guo, Shuaishuai, Feng, Chenyuan

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Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends by Zhao, Zhongyuan, Feng, Chenyuan, Yang, Howard H., Luo, Xueting

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Towards Understanding Federated Learning over Unreliable Networks by Feng, Chenyuan, Arafa, Ahmed, Chen, Zihan, Zhao, Mingxiong, Quek, Tony Q. S., Yang, Howard H.

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Attention-based Graph Convolutional Network for Recommendation System by Feng, Chenyuan, Liu, Zuozhu, Lin, Shaowei, Quek, Tony Q.S.

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EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems by Feng, Daquan, Huang, Guanxin, Feng, Chenyuan, Cao, Bin, Wang, Zhenzhong, Xia, Xiang-Gen

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Harmonizing Efficiency and Precision in Semantic-Bit Coexisting Communication Systems by Feng, Biqian, Han, Xue, Feng, Chenyuan

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User State Prediction Based on Channel Quality Feedback in 5G Broadcast by Peng, Hanlong, Feng, Chenyuan, Li, Qiang

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Hierarchical Federated Learning: The Interplay of User Mobility and Data Heterogeneity by Dong, Wei, Yang, Howard H., Feng, Chenyuan, Sun, Chen

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