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ELXGB: an Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning

IEEE TRANSACTIONS ON SERVICES COMPUTING(2024)

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关键词
Data models,Training,Federated learning,Security,Inference algorithms,Computational modeling,Differential privacy,homomorphic encryption,privacy-preserving,vertical federated learning,XGBoost
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