Yuwei Wang

According to our database, Yuwei Wang authored at least 49 papers between 2011 and 2026.

Collaborative distances:

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

2026

Recursive Offloading for LLM Serving in Multi-Tier Networks.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Jinda Lu, Tingting Wu, Zheming Yang, Tian Wen

IEEE Trans. Mob. Comput., June, 2026

Representation Optimal Matching for Federated Learning With Noisy Labels in Remote Sensing.

Xuefeng Jiang, Tian Wen, Sheng Sun, Jinliang Yuan, Huashuo Liu, Peng Li, Lvhua Wu, Yuwei Wang, Min Liu

IEEE Trans. Mob. Comput., June, 2026

Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise.

Zibin Geng, Xuefeng Jiang, Jia Li, Zheng Li, Tian Wen, Lvhua Wu, Sheng Sun, Yuwei Wang, Min Liu

CoRR, April, 2026

FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients.

Tian Wen, Zhiqin Yang, Yonggang Zhang, Xuefeng Jiang, Hao Peng, Yuwei Wang, Bo Han

CoRR, March, 2026

Re-architecting Personalized Federated Learning for Demanding Edge Environments.

Quyang Pan, Sheng Sun, Tingting Wi, Zhiyuan Wu, Yuwei Wang, Min Liu, Bo Gao, Jingyuan Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Peak-controlled logits poisoning attack in federated distillation.

Yuhan Tang, Zhiyuan Wu, Bo Gao, Tian Wen, Yuwei Wang, Sheng Sun

Discov. Comput., December, 2025

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction.

Lvhua Wu, Xuefeng Jiang, Sheng Sun, Tian Wen, Yuwei Wang, Min Liu

CoRR, November, 2025

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

Yali Chen, Sheng Sun, Min Liu, Bo Ai, Yuwei Wang, Yunhao Liu

IEEE Trans. Mob. Comput., September, 2025

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

Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Xuying Meng, Jingyuan Wang, Junbo Zhang, Ke Xu

IEEE Trans. Mob. Comput., July, 2025

Robust Federated Learning against Noisy Clients via Masked Optimization.

Xuefeng Jiang, Tian Wen, Zhiqin Yang, Lvhua Wu, Yufeng Chen, Sheng Sun, Yuwei Wang, Min Liu

CoRR, June, 2025

Recursive Offloading for LLM Serving in Multi-tier Networks.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Jinda Lu, Zheming Yang, Tian Wen

CoRR, May, 2025

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

Tian Wen, Sheng Sun, Yuwei Wang, Peiyan Chen, Zhiyuan Wu, Min Liu, Bo Gao

CoRR, May, 2025

FNBench: Benchmarking Robust Federated Learning against Noisy Labels.

Xuefeng Jiang, Jia Li, Nannan Wu, Zhiyuan Wu, Xujing Li, Sheng Sun, Gang Xu, Yuwei Wang, Qi Li, Min Liu

CoRR, May, 2025

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

Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng

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

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Quyang Pan, Bo Gao, Tian Wen

CoRR, January, 2025

Learnable Sparse Customization in Heterogeneous Edge Computing.

Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, Jingyuan Wang

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

2024

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

Sheng Sun, Zengqi Zhang, Quyang Pan, Min Liu, Yuwei Wang, Tianliu He, Yali Chen, Zhiyuan Wu

IEEE Trans. Mob. Comput., December, 2024

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu

IEEE Trans. Mob. Comput., October, 2024

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

Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao

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

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Xuefeng Jiang, Bo Gao

IEEE Trans. Parallel Distributed Syst., June, 2024

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

Yali Chen, Min Liu, Bo Ai, Yuwei Wang, Sheng Sun

IEEE Trans. Mob. Comput., May, 2024

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu

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

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

Qiuping Zhang, Sheng Sun, Junjie Luo, Min Liu, Zhongcheng Li, Huan Yang, Yuwei Wang

Digit. Commun. Networks, 2024

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

Xuefeng Jiang, Lvhua Wu, Sheng Sun, Jia Li, Jingjing Xue, Yuwei Wang, Tingting Wu, Min Liu

CoRR, 2024

Peak-Controlled Logits Poisoning Attack in Federated Distillation.

Yuhan Tang, Aoxu Zhang, Zhiyuan Wu, Bo Gao, Tian Wen, Yuwei Wang, Sheng Sun

CoRR, 2024

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

Quyang Pan, Sheng Sun, Zhiyuan Wu, Yuwei Wang, Min Liu, Bo Gao

CoRR, 2024

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

Wei Sun, Bo Gao, Ke Xiong, Yuwei Wang

CoRR, 2024

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Tianliu He, Wen Wang

CoRR, 2024

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

Zhiyuan Wu, Tianliu He, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Xuefeng Jiang

CoRR, 2024

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

Tian Wen, Hanqing Zhang, Han Zhang, Huixin Wu, Danxin Wang, Xiuwen Liu, Weishan Zhang, Yuwei Wang, Shaohua Cao

Comput. Networks, 2024

Logits Poisoning Attack in Federated Distillation.

Yuhan Tang, Zhiyuan Wu, Bo Gao, Tian Wen, Yuwei Wang, Sheng Sun

Proceedings of the Knowledge Science, Engineering and Management, 2024

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Quyang Pan, Tianliu He, Xuefeng Jiang

Proceedings of the IEEE INFOCOM 2024, 2024

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

Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu

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.

Huan Yang, Sheng Sun, Min Liu, Qiuping Zhang, Yuwei Wang

Comput. Networks, July, 2023

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

Bo Gao, Fan Yang, Nan Cui, Ke Xiong, Yang Lu, Yuwei Wang

IEEE Internet Things J., February, 2023

Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Tian Wen, Wen Wang

CoRR, 2023

Federated Skewed Label Learning with Logits Fusion.

Yuwei Wang, Runhan Li, Hao Tan, Xuefeng Jiang, Sheng Sun, Min Liu, Bo Gao, Zhiyuan Wu

CoRR, 2023

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

Shan Wang, Sheng Sun, Min Liu, Bo Gao, Yuwei Wang

CoRR, 2023

Survey of Knowledge Distillation in Federated Edge Learning.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Xuefeng Jiang, Runhan Li

CoRR, 2023

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Xuefeng Jiang, Bo Gao

CoRR, 2023

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

Wei Sun, Bo Gao, Ke Xiong, Yang Lu, Yuwei Wang

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.

Jingjing Xue, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang

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

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

Xujing Li, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang

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

2022

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

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Qingxiang Liu

CoRR, 2022

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

Hui Jiang, Min Liu, Sheng Sun, Yuwei Wang, Xiaobing Guo

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

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

Xuefeng Jiang, Sheng Sun, Yuwei Wang, Min Liu

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.

Bo Gao, Lingyun Lu, Ke Xiong, Jung-Min Park, Yaling Yang, Yuwei Wang

IEEE Trans. Wirel. Commun., 2020

2016

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

Yuwei Wang, Min Liu, Bo Gao, Chenchong Qin, Cheng Ma

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

2011

Power-Aware Traffic Engineering with Named Data Networking.

Yunlong Song, Min Liu, Yuwei Wang

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