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Privacy-preserving collaborative learning for mitigating ...
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由 H Yan 著作2021被引用 79 次 — A novel privacy-preserving framework is proposed for collaborative learning, targeting to alleviate the indirect information leakage for dishonest clients.
Privacy-preserving collaborative learning for mitigating ...
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2024年10月22日 — To tackle this challenge, we propose a novel and effective privacy-preserving collaborative machine learning scheme, targeting at preventing ...
PPCL: Privacy-preserving collaborative learning for mitigating ...
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Collaborative learning and related techniques such as federated learning, allow multiple clients to train a model jointly while keeping their datasets at ...
PPCL: Privacy-preserving collaborative learning for ...
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PPCL: Privacy-preserving collaborative learning for mitigating indirect information leakage. Published:2021-02 Issue: Volume:548 Page:423-437. ISSN:0020-0255.
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PPCL: Privacy-preserving collaborative learning for mitigating indirect information leakage. H Yan, L Hu, X Xiang, Z Liu, X Yuan. Information Sciences 548 ...
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Information Sciences 560, 493-503, 2021. 125, 2021. PPCL: Privacy-preserving collaborative learning for mitigating indirect information leakage. H Yan, L Hu, X ...
PrivateDL: Privacy‐preserving collaborative deep learning ...
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In this study, we present a new CDL framework, PrivateDL, to effectively protect private training data against leakage from gradient sharing. Unlike ...
优秀学生风采|研究生胡丽同学
广州大学人工智能研究院
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2021年1月22日 — 成果主要针对人工智能中隐私泄露问题提出了新颖有效的隐私保护联邦学习方案，利用知识蒸馏技术提取所有模型异构客户端的更新信息，成果通过大量的数据集进行 ...
Hongyang Yan
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2018. PPCL: Privacy-preserving collaborative learning for mitigating indirect information leakage. H Yan, L Hu, X Xiang, Z Liu, X Yuan. Information Sciences ...
Privacy preserving collaborative learning of generalized linear ...
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This paper proposes an algorithm for a distributed, privacy-preserving, and lossless estimation of generalized additive mixed models (GAMM) using ...