Application of federated XGBoost in outlier detection
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Federated learning technology is rapidly evolving, and the combination of other machine learning methods has become a popular privacy protection model. XGBoost is the “big killer” of machine learning algorithms. In June 2019, the paper “Secureboost: A lossless federated learning framework” proposed the Secureboost federated learning framework, which realized the application of Boosting integrated learning method in vertical federated learning. In another recent paper, “The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost”, the authors proposed a method of combining XGBoost with horizontal federayed learning, which was used for credit card transaction anomaly detection and obtained. A good detection effect, find out the privacy protection program to achieve the best training results. Read more