Rui Chen

Orcid: 0000-0002-1829-8330

Affiliations:
  • University of Houston, Department of Electrical and Computer Engineering, TX, USA


According to our database1, Rui Chen authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

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

Service Delay Minimization for Federated Learning Over Mobile Devices.
IEEE J. Sel. Areas Commun., April, 2023

REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices.
CoRR, 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

DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Toward Energy-Efficient Federated Learning Over 5G+ Mobile Devices.
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
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices.
CoRR, 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


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