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Selected Publications
For the most recent works, the pre-print can be found on arXiv, the code are hosted on GitHub.
- Machine Learning - Federated Learning, Privacy & Security
+ Machine Learning - Vulnerability of Federated Deep Learning
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📑 Ren H., Deng J., Xie X., Ma X. and Wang Y., FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition, Neurocomputing, 2024. [ Elsevier | Pre-Print | Code-PyTorch ]
📑 Xie X., Hu C., Ren H. and Deng J. A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective, arXiv:2311.16065, 2023. [ Pre-Print | Github-Page ]
📑 Ren H., Deng J., Xie X., Ma X. and Wang Y., FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition, Neurocomputing, 2024. [ Elsevier | Pre-Print | Code-PyTorch ]
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📑 Ren H., Deng J., Xie X., Ma X. and Ma J., Gradient Leakage Defense with Key-Lock Module for Federated Learning, arXiv:2305.04095, 2023. [ Pre-Print | Code-PyTorch ]
📑 Deng J. and Xie X., 3D Interactive Segmentation with Semi-Implicit Representation and Active Learning, IEEE Transactions on Image Processing (TIP), 2021. [ IEEE | Code-Xcode ]
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