Rui Chen
Orcid: 0000-0002-1829-8330Affiliations:
- University of Houston, Department of Electrical and Computer Engineering, TX, USA
  According to our database1,
  Rui Chen
  authored at least 20 papers
  between 2020 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
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Bibliography
  2025
DAFL: Device-to-Device Transmissions for Delay-Efficient Federated Learning Over Mobile Devices.
    
  
    IEEE Internet Things J., March, 2025
    
  
    CoRR, January, 2025
    
  
  2024
REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning Over Mobile Devices.
    
  
    IEEE Trans. Mob. Comput., October, 2024
    
  
Energy Efficient and Differentially Private Federated Learning via a Piggyback Approach.
    
  
    IEEE Trans. Mob. Comput., April, 2024
    
  
  2023
Energy Efficient Federated Learning Over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission.
    
  
    IEEE Trans. Mob. Comput., December, 2023
    
  
    IEEE J. Sel. Areas Commun., April, 2023
    
  
EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices.
    
  
    Proceedings of the 21st Annual International Conference on Mobile Systems, 2023
    
  
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization.
    
  
    Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
    
  
DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions.
    
  
    Proceedings of the IEEE Global Communications Conference, 2023
    
  
  2022
    IEEE Wirel. Commun., 2022
    
  
IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization.
    
  
    IEEE Internet Things J., 2022
    
  
Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability.
    
  
    IEEE Internet Things J., 2022
    
  
Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks.
    
  
    Proceedings of the IEEE Global Communications Conference, 2022
    
  
  2021
A Privacy Preserving Federated Learning Framework for COVID-19 Vulnerability Map Construction.
    
  
    Proceedings of the ICC 2021, 2021
    
  
  2020
Energy-Efficient Proactive Caching for Adaptive Video Streaming via Data-Driven Optimization.
    
  
    IEEE Internet Things J., 2020
    
  
To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design.
    
  
    CoRR, 2020
    
  
Data-Driven Small Cell Planning for Traffic Offloading with Users' Differential Privacy.
    
  
    Proceedings of the 2020 IEEE International Conference on Communications, 2020
    
  
Data-Driven Optimization for Resource Provision in Non-Cooperative Edge Computing Market.
    
  
    Proceedings of the 2020 IEEE International Conference on Communications, 2020
    
  
COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing.
    
  
    Proceedings of the IEEE Global Communications Conference, 2020