Yunming Liao

According to our database, Yunming Liao authored at least 28 papers between 2022 and 2025.

Collaborative distances:

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

2025

DySTop.

Yizhou Shi, Qianpiao Ma, Yang Xu, Junlong Zhou, Ming Hu, Yunming Liao, Hongli Xu

CoRR, August, 2025

Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation.

Ying Zhu, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao, Liusheng Huang

CoRR, April, 2025

Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing.

Jianchun Liu, Jun Liu, Hongli Xu, Yunming Liao, Zhiwei Yao, Min Chen, Chen Qian

IEEE Trans. Mob. Comput., March, 2025

Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data.

Jun Liu, Yunming Liao, Hongli Xu, Yang Xu

CoRR, March, 2025

A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language Models.

Zuan Xie, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao

CoRR, March, 2025

Lightweight and Post-Training Structured Pruning for On-Device Large Lanaguage Models.

Zihuai Xu, Yang Xu, Hongli Xu, Yunming Liao, Zhiwei Yao, Zuan Xie

CoRR, January, 2025

Efficient Deployment of Large Language Models on Resource-constrained Devices.

Zhiwei Yao, Yang Xu, Hongli Xu, Yunming Liao, Zuan Xie

CoRR, January, 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

LOGO-CL: Accelerating semi-supervised federated learning in edge computing.

Yang Xu, Qianshu Wang, Hongli Xu, Yunming Liao, Liusheng Huang, Xin Hang

Comput. Networks, 2025

Towards layer-wise quantization for heterogeneous federated clients.

Yang Xu, Junhao Cheng, Hongli Xu, Changyu Guo, Yunming Liao, Zhiwei Yao

Comput. Networks, 2025

MPLS: Stacking Diverse Layers Into One Model for Decentralized Federated Learning.

Yang Xu, Zhiwei Yao, Hongli Xu, Yunming Liao, Zuan Xie

Proceedings of the Euro-Par 2025: Parallel Processing, 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

Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks.

Jianchun Liu, Shilong Wang, Hongli Xu, Yang Xu, Yunming Liao, Jinyang Huang, He Huang

IEEE/ACM Trans. Netw., August, 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

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

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

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices.

Jun Liu, Yunming Liao, Hongli Xu, Yang Xu, Jianchun Liu, Chen Qian

CoRR, 2024

Collaborative Inference for Large Models with Task Offloading and Early Exiting.

Zuan Xie, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Yao

CoRR, 2024

ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues.

Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Liusheng Huang, Chunming Qiao

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Accelerating Hierarchical Federated Learning with Model Splitting in Edge Computing.

Xiangnan Wang, Yang Xu, Hongli Xu, Zhipeng Sun, Yunming Liao, Ji Qi

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation.

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

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

Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization.

Xin Hang, Yang Xu, Hongli Xu, Yunming Liao, Lun Wang

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

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

Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning.

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

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection.

Wenxiao Lou, Yang Xu, Hongli Xu, Yunming Liao

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 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