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Fei Zheng

WassFFed: Wasserstein Fair Federated Learning

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Nov 11, 2024
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Input Reconstruction Attack against Vertical Federated Large Language Models

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Nov 07, 2023
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Toward ground-truth optical coherence tomography via three-dimensional unsupervised deep learning processing and data

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Nov 07, 2023
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Defending Label Inference Attacks in Split Learning under Regression Setting

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Aug 18, 2023
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Federated Learning on Non-iid Data via Local and Global Distillation

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Jun 26, 2023
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Reducing Communication for Split Learning by Randomized Top-k Sparsification

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May 29, 2023
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Making Split Learning Resilient to Label Leakage by Potential Energy Loss

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Oct 18, 2022
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Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation

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Aug 18, 2021
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Efficient Private Machine Learning by Differentiable Random Transformations

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Aug 18, 2020
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