Qiong Wu

According to our database, Qiong Wu authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

FedLEO: An Offloading-Assisted Decentralized Federated Learning Framework for Low Earth Orbit Satellite Networks.

Zhiwei Zhai, Qiong Wu, Shuai Yu, Rui Li, Fei Zhang, Xu Chen

IEEE Trans. Mob. Comput., May, 2024

FedDD: Toward Communication-Efficient Federated Learning With Differential Parameter Dropout.

Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, Qianyi Huang

IEEE Trans. Mob. Comput., May, 2024

Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis.

Guangjing Huang, Qiong Wu, Peng Sun, Qian Ma, Xu Chen

IEEE Trans. Parallel Distributed Syst., March, 2024

2023

Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network.

Qingze Fang, Zhiwei Zhai, Shuai Yu, Qiong Wu, Xiaowen Gong, Xu Chen

IEEE Trans. Wirel. Commun., July, 2023

HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association.

Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang

IEEE Trans. Parallel Distributed Syst., May, 2023

2022

Deep Transfer Learning Across Cities for Mobile Traffic Prediction.

Qiong Wu, Kaiwen He, Xu Chen, Shuai Yu, Junshan Zhang

IEEE/ACM Trans. Netw., 2022

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring.

Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang

IEEE Trans. Mob. Comput., 2022

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction.

Kaiwen He, Xu Chen, Qiong Wu, Shuai Yu, Zhi Zhou

IEEE Trans. Mob. Comput., 2022

Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training.

Shengyuan Ye, Liekang Zeng, Qiong Wu, Ke Luo, Qingze Fang, Xu Chen

Proceedings of the 51st International Conference on Parallel Processing, 2022

FedBranch: Heterogeneous Federated Learning via Multi-Branch Neural Network.

Jialuo Cui, Qiong Wu, Zhi Zhou, Xu Chen

Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

2021

Deep Reinforcement Learning With Spatio-Temporal Traffic Forecasting for Data-Driven Base Station Sleep Control.

Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen, Junshan Zhang

IEEE/ACM Trans. Netw., 2021

2020

HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning.

Siqi Luo, Xu Chen, Qiong Wu, Zhi Zhou, Shuai Yu

IEEE Trans. Wirel. Commun., 2020

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework.

Qiong Wu, Kaiwen He, Xu Chen

IEEE Open J. Comput. Soc., 2020

DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network.

Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen

IEEE J. Sel. Areas Commun., 2020

2019

Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing.

Zhi Zhou, Qiong Wu, Xu Chen

IEEE J. Sel. Areas Commun., 2019

Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration.

Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen

IEEE Internet Things J., 2019

Information Cascades over Diffusion-Restricted Social Network: A Data-Driven Analysis.

Bo Zhang, Qiong Wu, Xu Chen, Liang Chen

Proceedings of the IEEE INFOCOM 2019, 2019

2018

User-Centric Location Prediction in Mobile Social Networks: A Factor Graph Learning Approach.

Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen

Proceedings of the IEEE Global Communications Conference, 2018

WeChat Toxic Article Detection: A Data-Driven Machine Learning Approach.

Yunpeng Weng, Muhong Wu, Xu Chen, Qiong Wu, Lingnan He, Liang Chen

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018