Zhiyuan Wang

According to our database, Zhiyuan Wang authored at least 26 papers between 2021 and 2025.

Collaborative distances:

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

2025

Hier-FUN: Hierarchical Federated Learning and Unlearning in Heterogeneous Edge Computing.

Zhenguo Ma, Huaqing Tu, Li Zhou, Pengli Ji, Xiaoran Yan, Hongli Xu, Zhiyuan Wang, Suo Chen

IEEE Internet Things J., April, 2025

Enhancing Federated Learning Through Layer-Wise Aggregation Over Non-IID Data.

Yang Xu, Ying Zhu, Zhiyuan Wang, Hongli Xu, Yunming Liao

IEEE Trans. Serv. Comput., 2025

2024

Peaches: Personalized Federated Learning With Neural Architecture Search in Edge Computing.

Jiaming Yan, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Chunming Qiao

IEEE Trans. Mob. Comput., November, 2024

Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chunming Qiao

IEEE Trans. Mob. Comput., October, 2024

Enhancing Decentralized and Personalized Federated Learning With Topology Construction.

Suo Chen, Yang Xu, Hongli Xu, Zhenguo Ma, Zhiyuan Wang

IEEE Trans. Mob. Comput., October, 2024

Federated Learning With Client Selection and Gradient Compression in Heterogeneous Edge Systems.

Yang Xu, Zhida Jiang, Hongli Xu, Zhiyuan Wang, Chen Qian, Chunming Qiao

IEEE Trans. Mob. Comput., May, 2024

Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search.

Jianchun Liu, Jiaming Yan, Hongli Xu, Zhiyuan Wang, Jinyang Huang, Yang Xu

IEEE Trans. Mob. Comput., May, 2024

YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning.

Jun Liu, Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma

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

Computation and Communication Efficient Federated Learning With Adaptive Model Pruning.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chen Qian, Chunming Qiao

IEEE Trans. Mob. Comput., March, 2024

FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training.

Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu, Suo Chen

IEEE Trans. Parallel Distributed Syst., February, 2024

Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning.

Jianchun Liu, Qingmin Zeng, Hongli Xu, Yang Xu, Zhiyuan Wang, He Huang

IEEE/ACM Trans. Netw., February, 2024

Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation.

Zhiyuan Wang, Hongli Xu, Jianchun Liu, Yang Xu, He Huang, Yangming Zhao

IEEE Trans. Mob. Comput., July, 2023

Efficient Semi-Supervised Federated Learning for Heterogeneous Participants.

Zhipeng Sun, Yang Xu, Hongli Xu, Zhiyuan Wang

CoRR, 2023

CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing.

Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu

Comput. Networks, 2023

Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation.

Qingmin Zeng, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Yang Xu, Yangming Zhao

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chen Qian

Proceedings of the IEEE INFOCOM 2023, 2023

Accelerating Hierarchical Federated Learning with Adaptive Aggregation Frequency in Edge Computing.

Suo Chen, Zhenguo Ma, Zhiyuan Wang

Proceedings of the 2023 4th International Conference on Computing, 2023

2022

Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chen Qian

CoRR, 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

Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing.

Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang

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

FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao, Yangming Zhao

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

2021

Communication-efficient asynchronous federated learning in resource-constrained edge computing.

Jianchun Liu, Hongli Xu, Yang Xu, Zhenguo Ma, Zhiyuan Wang, Chen Qian, He Huang

Comput. Networks, 2021

DNN Inference Acceleration with Partitioning and Early Exiting in Edge Computing.

Chao Li, Hongli Xu, Yang Xu, Zhiyuan Wang, Liusheng Huang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing.

Zhiyuan Wang, Hongli Xu, Jianchun Liu, He Huang, Chunming Qiao, Yangming Zhao

Proceedings of the 40th IEEE Conference on Computer Communications, 2021