Yuwei Wang

Orcid: 0000-0002-3228-7371

Affiliations:

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

According to our database¹, Yuwei Wang authored at least 37 papers between 2011 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Article

PhD thesis

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Bibliography

2025

Energy-Efficient Over-the-Air Computation in UAV-Assisted IIoT Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., September, 2025

Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., July, 2025

SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation.

[BibT_eX]

[DOI]

CoRR, May, 2025

REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2025

Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration.

[BibT_eX]

[DOI]

CoRR, January, 2025

Learnable Sparse Customization in Heterogeneous Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., December, 2024

FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., October, 2024

Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., October, 2024

FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., June, 2024

Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., May, 2024

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2024

Collaborative non-chain DNN inference with multi-device based on layer parallel.

[BibT_eX]

[DOI]

Digit. Commun. Networks, 2024

Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study.

[BibT_eX]

[DOI]

CoRR, 2024

FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure.

[BibT_eX]

[DOI]

CoRR, 2024

Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

RTIFed: A Reputation based Triple-step Incentive mechanism for energy-aware Federated learning over battery-constricted devices.

[BibT_eX]

[DOI]

Comput. Networks, 2024

Tackling Noisy Clients in Federated Learning with End-to-end Label Correction.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

MJOA-MU: End-to-edge collaborative computation for DNN inference based on model uploading.

[BibT_eX]

[DOI]

Comput. Networks, July, 2023

A Federated Learning Framework for Fingerprinting-Based Indoor Localization in Multibuilding and Multifloor Environments.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2023

Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates.

[BibT_eX]

[DOI]

CoRR, 2023

Federated Skewed Label Learning with Logits Fusion.

[BibT_eX]

[DOI]

CoRR, 2023

Resource-aware Probability-based Collaborative Odor Source Localization Using Multiple UAVs.

[BibT_eX]

[DOI]

CoRR, 2023

Survey of Knowledge Distillation in Federated Edge Learning.

[BibT_eX]

[DOI]

CoRR, 2023

FedICT: Federated Multi-task Distillation for Multi-access Edge Computing.

[BibT_eX]

[DOI]

CoRR, 2023

VagueGAN: A GAN-Based Data Poisoning Attack Against Federated Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.

[BibT_eX]

[DOI]

CoRR, 2022

FedSyL: Computation-Efficient Federated Synergy Learning on Heterogeneous IoT Devices.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Towards Federated Learning against Noisy Labels via Local Self-Regularization.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Spectrum Sharing Among Rapidly Deployable Small Cells: A Hybrid Multi-Agent Approach.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

2016

I/O Congestion-Aware Computing Resource Assignment and Scheduling in Virtualized Cloud Environments.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

2011

Power-Aware Traffic Engineering with Named Data Networking.

[BibT_eX]

[DOI]

Yunlong Song

Min Liu

Yuwei Wang

Proceedings of the Seventh International Conference on Mobile Ad-hoc and Sensor Networks, 2011

Yuwei Wang

Timeline

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