Enhancing Federated Learning with In-Cloud Unlabeled Data. - Lun Wang 003; Yang Xu 020; Hongli Xu 001; Jianchun Liu; Zhiyuan Wang 002; Liusheng Huang (ICDE, 2022)

Decentralized Machine Learning Through Experience-Driven Method in Edge Networks. - Hongli Xu 001; Min Chen 033; Zeyu Meng; Yang Xu 020; Lun Wang 003; Chunming Qiao (IEEE J. Sel. Areas Commun., 2022)

Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing. - Jianchun Liu; Hongli Xu 001; Lun Wang 003; Yang Xu 020; Chen Qian 001; Jinyang Huang; He Huang 001 (IEEE Trans. Mob. Comput., 2023)

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing. - Lun Wang 003; Yang Xu 020; Hongli Xu 001; Min Chen 033; Liusheng Huang (IEEE Trans. Mob. Comput., 2023)

Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning. - Yang Xu 020; Yunming Liao; Hongli Xu 001; Zhenguo Ma; Lun Wang 003; Jianchun Liu (IEEE Trans. Mob. Comput., 2023)

Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning. - Zhida Jiang; Yang Xu 020; Hongli Xu 001; Lun Wang 003; Chunming Qiao; Liusheng Huang (IEEE Trans. Parallel Distributed Syst., 2023)

Accelerating Federated Learning With Data and Model Parallelism in Edge Computing. - Yunming Liao; Yang Xu 020; Hongli Xu 001; Zhiwei Yao; Lun Wang 003; Chunming Qiao (IEEE/ACM Trans. Netw., 2024)

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection. - Yang Xu 020; Lun Wang 003; Hongli Xu 001; Jianchun Liu; Zhiyuan Wang 002; Liusheng Huang (IEEE Trans. Mob. Comput., 2024)

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing. - Lun Wang 003; Yang Xu 020; Hongli Xu 001; Zhida Jiang; Min Chen 033; Wuyang Zhang; Chen Qian 001 (IEEE/ACM Trans. Netw., 2024)

Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants. - Yunming Liao; Yang Xu 020; Hongli Xu 001; Lun Wang 003; Chen Qian 001; Chunming Qiao (IEEE Trans. Mob. Comput., 2024)

Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients. - Zhiwei Yao; Jianchun Liu; Hongli Xu 001; Lun Wang 003; Chen Qian 001; Yunming Liao (IEEE Trans. Mob. Comput., 2024)

Asynchronous Decentralized Federated Learning for Heterogeneous Devices. - Yunming Liao; Yang Xu 020; Hongli Xu 001; Min Chen 033; Lun Wang 003; Chunming Qiao (IEEE/ACM Trans. Netw., 2024)

Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning. - Yang Xu 020; Yunming Liao; Lun Wang 003; Hongli Xu 001; Zhida Jiang; Wuyang Zhang (IEEE Trans. Mob. Comput., 2024)

FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing. - Yang Xu 020; Yunming Liao; Hongli Xu 001; Zhiyuan Wang 002; Lun Wang 003; Jianchun Liu; Chen Qian 001 (IEEE Trans. Netw., 2025)

PairingFL: Efficient Federated Learning With Model Splitting and Client Pairing. - Zhiwei Yao; Ji Qi 005; Yang Xu 020; Yunming Liao; Hongli Xu 001; Lun Wang 003 (IEEE Trans. Netw., 2025)