Liping Yi

According to our database, Liping Yi authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

pFedKT: Personalized federated learning with dual knowledge transfer.

Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu

Knowl. Based Syst., 2024

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning.

Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

CoRR, 2024

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

CoRR, 2024

APFL: Active-Passive Forgery Localization for Medical Images.

Nan Wang, Jiaqi Shi, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.

Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu

CoRR, 2023

pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing.

Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu

CoRR, 2023

FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning.

Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu

CoRR, 2023

FedGH: Heterogeneous Federated Learning with Generalized Global Header.

Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks.

Liping Yi, Xiaorong Shi, Wenrui Wang, Gang Wang, Xiaoguang Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization.

Nan Wang, Liping Yi, Gang Wang, Xiaoguang Liu

Proceedings of the International Joint Conference on Neural Networks, 2023

FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness.

Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Alex Liu

Proceedings of the IEEE International Conference on Web Services, 2023

FFEDCL: Fair Federated Learning with Contrastive Learning.

Xiaorong Shi, Liping Yi, Xiaoguang Liu, Gang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning.

Liping Yi, Gang Wang, Xiaoguang Liu

Proceedings of the International Conference on Machine Learning, 2022

2020

SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation.

Liping Yi, Jinsong Zhang, Rui Zhang, Jiaqi Shi, Gang Wang, Xiaoguang Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Two-Erasure Codes from 3-Plexes.

Liping Yi, Rebecca J. Stones, Gang Wang

Proceedings of the Network and Parallel Computing, 2019