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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...
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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...
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Article
Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints
With the popularization and development of cloud computing, lots of scientific computing applications are conducted in cloud environments. However, current application scenario of scientific computing is also ...