The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost

1 code implementation • 16 Jul 2019 • Mengwei Yang, Linqi Song, Jie Xu, Congduan Li, Guozhen Tan

Our proposed federated XGBoost algorithm incorporates data aggregation and sparse federated update processes to balance the tradeoff between privacy and learning performance.

Anomaly Detection Federated Learning +1

A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning

no code implementations • 3 Mar 2018 • Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen

This paper proposes a many-objective optimization algorithm with two interacting processes: cascade clustering and reference point incremental learning (CLIA).

Clustering Incremental Learning

ORGB: Offset Correction in RGB Color Space for Illumination-Robust Image Processing

no code implementations • 3 Aug 2017 • Zhenqiang Ying, Ge Li, Sixin Wen, Guozhen Tan

This paper is concerned with the detection and correction of the offset between the intersection and origin.