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    Chapter and Conference Paper

    Secure Forward Aggregation for Vertical Federated Neural Networks

    Vertical federated learning (VFL) is attracting much attention because it enables cross-silo data cooperation in a privacy-preserving manner. While most research works in VFL focus on linear and tree models, d...

    Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun **… in Trustworthy Federated Learning (2023)

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    Chapter and Conference Paper

    Practical and Secure Federated Recommendation with Personalized Mask

    Federated recommendation addresses the data silo and privacy problems altogether for recommender systems. Current federated recommender systems mainly utilize cryptographic or obfuscation methods to protect th...

    Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo… in Trustworthy Federated Learning (2023)