Zhihao Yue

According to our database, Zhihao Yue authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination.

Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation.

Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen

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

2023

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.

Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Xian Wei, Mingsong Chen

CoRR, 2023

EqGAN: Feature Equalization Fusion for Few-shot Image Generation.

Yingbo Zhou, Zhihao Yue, Yutong Ye, Pengyu Zhang, Xian Wei, Mingsong Chen

CoRR, 2023

FedMR: Federated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen

CoRR, 2023

GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control.

Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

Proceedings of the IEEE Real-Time Systems Symposium, 2023

Model-Contrastive Learning for Backdoor Elimination.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

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

FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection.

Zhiwei Ling, Zhihao Yue, Jun Xia, Ting Wang, Mingsong Chen, Xiang Lian

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation.

Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen

CoRR, 2022

GitFL: Adaptive Asynchronous Federated Learning using Version Control.

Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation.

Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

FedMR: Fedreated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Xian Wei, Mingsong Chen

CoRR, 2022

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment.

Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen

CoRR, 2022

Model-Contrastive Learning for Backdoor Defense.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

CoRR, 2022

FedCAT: Towards Accurate Federated Learning via Device Concatenation.

Ming Hu, Tian Liu, Zhiwei Ling, Zhihao Yue, Mingsong Chen

CoRR, 2022