JOURNAL ARTICLE

Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost

Mengwei YangShuqi LiuJie XuGuozhen TanCongduan LiLinqi Song

Year: 2023 Journal:   Journal of the Franklin Institute Vol: 360 (9)Pages: 6194-6210   Publisher: Elsevier BV
Keywords:
Differential privacy Computer science Anonymity Context (archaeology) Data mining Federated learning Anomaly detection Cluster (spacecraft) Information privacy Feature (linguistics) Data aggregator Private information retrieval Computer security Computer network Artificial intelligence Geography

Metrics

12
Cited By
2.81
FWCI (Field Weighted Citation Impact)
67
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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