Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing

Takuya Tanaka, Ryosuke Kasahara, Daishiro Kobayashi

This study proposes a logic architecture for the high-speed and power efficiently training of a gradient boosting decision tree model of binary classification. We implemented the p…