Lun Wang

According to our database, Lun Wang authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

PairingFL: Efficient Federated Learning With Model Splitting and Client Pairing.

Zhiwei Yao, Ji Qi, Yang Xu, Yunming Liao, Hongli Xu, Lun Wang

IEEE Trans. Netw., 2025

FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing.

Yang Xu, Yunming Liao, Hongli Xu, Zhiyuan Wang, Lun Wang, Jianchun Liu, Chen Qian

IEEE Trans. Netw., 2025

2024

Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning.

Yang Xu, Yunming Liao, Lun Wang, Hongli Xu, Zhida Jiang, Wuyang Zhang

IEEE Trans. Mob. Comput., December, 2024

Asynchronous Decentralized Federated Learning for Heterogeneous Devices.

Yunming Liao, Yang Xu, Hongli Xu, Min Chen, Lun Wang, Chunming Qiao

IEEE/ACM Trans. Netw., October, 2024

Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients.

Zhiwei Yao, Jianchun Liu, Hongli Xu, Lun Wang, Chen Qian, Yunming Liao

IEEE Trans. Mob. Comput., October, 2024

Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants.

Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian, Chunming Qiao

IEEE Trans. Mob. Comput., June, 2024

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing.

Lun Wang, Yang Xu, Hongli Xu, Zhida Jiang, Min Chen, Wuyang Zhang, Chen Qian

IEEE/ACM Trans. Netw., April, 2024

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection.

Yang Xu, Lun Wang, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang

IEEE Trans. Mob. Comput., April, 2024

Accelerating Federated Learning With Data and Model Parallelism in Edge Computing.

Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Lun Wang, Chunming Qiao

IEEE/ACM Trans. Netw., February, 2024

2023

Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning.

Zhida Jiang, Yang Xu, Hongli Xu, Lun Wang, Chunming Qiao, Liusheng Huang

IEEE Trans. Parallel Distributed Syst., October, 2023

Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning.

Yang Xu, Yunming Liao, Hongli Xu, Zhenguo Ma, Lun Wang, Jianchun Liu

IEEE Trans. Mob. Comput., October, 2023

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing.

Lun Wang, Yang Xu, Hongli Xu, Min Chen, Liusheng Huang

IEEE Trans. Mob. Comput., September, 2023

Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing.

Jianchun Liu, Hongli Xu, Lun Wang, Yang Xu, Chen Qian, Jinyang Huang, He Huang

IEEE Trans. Mob. Comput., 2023

2022

Decentralized Machine Learning Through Experience-Driven Method in Edge Networks.

Hongli Xu, Min Chen, Zeyu Meng, Yang Xu, Lun Wang, Chunming Qiao

IEEE J. Sel. Areas Commun., 2022

Enhancing Federated Learning with In-Cloud Unlabeled Data.

Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022