Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. - Jianchun Liu; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiyuan Wang 002; He Huang 001 (ICDE, 2022)

Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection. - Wenxiao Lou; Yang Xu 020; Hongli Xu; Yunming Liao (ICPADS, 2022)

Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. - Yunming Liao; Yang Xu 020; Hongli Xu; Lun Wang; Chen Qian 001 (INFOCOM, 2023)

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

Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization. - Xin Hang; Yang Xu 020; Hongli Xu; Yunming Liao; Lun Wang (CCGrid, 2024)

MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. - Yunming Liao; Yang Xu 020; Hongli Xu; Lun Wang; Zhiwei Yao; Chunming Qiao (ICDE, 2024)

Accelerating Hierarchical Federated Learning with Model Splitting in Edge Computing. - Xiangnan Wang; Yang Xu 020; Hongli Xu; Zhipeng Sun; Yunming Liao; Ji Qi 005 (ICPADS, 2024)

ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues. - Yunming Liao; Yang Xu 020; Hongli Xu; Zhiwei Yao; Liusheng Huang; Chunming Qiao (MobiCom, 2024)

Collaborative Inference for Large Models with Task Offloading and Early Exiting. - Zuan Xie; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiyuan Yao (CoRR, 2024)

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices. - Jun Liu 083; Yunming Liao; Hongli Xu; Yang Xu 020; Jianchun Liu; Chen Qian 001 (CoRR, 2024)

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

YOGA: Adaptive Layer-Wise Model Aggregation for Decentralized Federated Learning. - Jun Liu 083; Jianchun Liu; Hongli Xu; Yunming Liao; Zhiyuan Wang 002; Qianpiao Ma (IEEE/ACM Trans. Netw., 2024)

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

Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks. - Jianchun Liu; Shilong Wang 002; Hongli Xu; Yang Xu 020; Yunming Liao; Jinyang Huang; He Huang 001 (IEEE/ACM Trans. Netw., 2024)

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

Asynchronous Decentralized Federated Learning for Heterogeneous Devices. - Yunming Liao; Yang Xu 020; Hongli Xu; Min Chen 033; Lun Wang; 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; Hongli Xu; Zhida Jiang; Wuyang Zhang (IEEE Trans. Mob. Comput., 2024)

MPLS: Stacking Diverse Layers Into One Model for Decentralized Federated Learning. - Yang Xu 020; Zhiwei Yao; Hongli Xu; Yunming Liao; Zuan Xie (Euro-Par (1), 2025)

Towards layer-wise quantization for heterogeneous federated clients. - Yang Xu 020; Junhao Cheng; Hongli Xu; Changyu Guo; Yunming Liao; Zhiwei Yao (Comput. Networks, 2025)

LOGO-CL: Accelerating semi-supervised federated learning in edge computing. - Yang Xu 020; Qianshu Wang; Hongli Xu; Yunming Liao; Liusheng Huang; Xin Hang (Comput. Networks, 2025)

Enhancing Federated Learning Through Layer-Wise Aggregation Over Non-IID Data. - Yang Xu 020; Ying Zhu; Zhiyuan Wang 002; Hongli Xu; Yunming Liao (IEEE Trans. Serv. Comput., 2025)

Efficient Deployment of Large Language Models on Resource-constrained Devices. - Zhiwei Yao; Yang Xu 020; Hongli Xu; Yunming Liao; Zuan Xie (CoRR, 2025)

Lightweight and Post-Training Structured Pruning for On-Device Large Lanaguage Models. - Zihuai Xu; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiwei Yao; Zuan Xie (CoRR, 2025)

A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language Models. - Zuan Xie; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiwei Yao (CoRR, 2025)

Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data. - Jun Liu 083; Yunming Liao; Hongli Xu; Yang Xu 020 (CoRR, 2025)

Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing. - Jianchun Liu; Jun Liu 083; Hongli Xu; Yunming Liao; Zhiwei Yao; Min Chen 033; Chen Qian 001 (IEEE Trans. Mob. Comput., 2025)

Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation. - Ying Zhu; Yang Xu 020; Hongli Xu; Yunming Liao; Zhiwei Yao; Liusheng Huang (CoRR, 2025)

DySTop. - Yizhou Shi; Qianpiao Ma; Yang Xu 020; Junlong Zhou; Ming Hu 003; Yunming Liao; Hongli Xu (CoRR, 2025)