Qiong Wu
Orcid: 0000-0002-2156-4433Affiliations:
- Sun Yat-sen University, School of Data and Computer Science / Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Guangzhou, China
According to our database1,
Qiong Wu
authored at least 22 papers
between 2018 and 2024.
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Online presence:
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Bibliography
2024
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content.
IEEE Trans. Mob. Comput., December, 2024
FedLEO: An Offloading-Assisted Decentralized Federated Learning Framework for Low Earth Orbit Satellite Networks.
IEEE Trans. Mob. Comput., May, 2024
FedDD: Toward Communication-Efficient Federated Learning With Differential Parameter Dropout.
IEEE Trans. Mob. Comput., May, 2024
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis.
IEEE Trans. Parallel Distributed Syst., March, 2024
Hydra: Hybrid-model federated learning for human activity recognition on heterogeneous devices.
J. Syst. Archit., February, 2024
Communication-efficient Multi-service Mobile Traffic Prediction by Leveraging Cross-service Correlations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network.
IEEE Trans. Wirel. Commun., July, 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association.
IEEE Trans. Parallel Distributed Syst., May, 2023
2022
IEEE/ACM Trans. Netw., 2022
FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring.
IEEE Trans. Mob. Comput., 2022
Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction.
IEEE Trans. Mob. Comput., 2022
Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training.
Proceedings of the 51st International Conference on Parallel Processing, 2022
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.
IEEE/ACM Trans. Netw., 2021
2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning.
IEEE Trans. Wirel. Commun., 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework.
IEEE Open J. Comput. Soc., 2020
DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network.
IEEE J. Sel. Areas Commun., 2020
2019
Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing.
IEEE J. Sel. Areas Commun., 2019
Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration.
IEEE Internet Things J., 2019
Information Cascades over Diffusion-Restricted Social Network: A Data-Driven Analysis.
Proceedings of the IEEE INFOCOM 2019, 2019
2018
User-Centric Location Prediction in Mobile Social Networks: A Factor Graph Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2018
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018