Fuki Yamamoto

According to our database, Fuki Yamamoto authored at least 2 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees.

Fuki Yamamoto, Seiichi Ozawa, Lihua Wang

IEEE Access, 2022

2020

New Approaches to Federated XGBoost Learning for Privacy-Preserving Data Analysis.

Fuki Yamamoto, Lihua Wang, Seiichi Ozawa

Proceedings of the Neural Information Processing - 27th International Conference, 2020