Zhihao Yue

Orcid: 0000-0003-0955-9049

According to our database1, Zhihao Yue authored at least 15 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.
CoRR, 2023

EqGAN: Feature Equalization Fusion for Few-shot Image Generation.
CoRR, 2023

FedMR: Federated Learning via Model Recombination.
CoRR, 2023

GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

Model-Contrastive Learning for Backdoor Elimination.
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.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation.
CoRR, 2022

GitFL: Adaptive Asynchronous Federated Learning using Version Control.
CoRR, 2022

FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation.
CoRR, 2022

FedMR: Fedreated Learning via Model Recombination.
CoRR, 2022

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment.
CoRR, 2022

Model-Contrastive Learning for Backdoor Defense.
CoRR, 2022

FedCAT: Towards Accurate Federated Learning via Device Concatenation.
CoRR, 2022


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