# Paper on bagging aggregation strategy used for XGBoost?

**URL:** <https://discuss.flower.ai/t/paper-on-bagging-aggregation-strategy-used-for-xgboost/114>\
**Category:** Research\
**Tags:** tree\
**Created:** [February 29, 2024, 4:28pm UTC](https://discuss.flower.ai/t/paper-on-bagging-aggregation-strategy-used-for-xgboost/114 "2024-02-29T16:28:44Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![flower](https://dub1.discourse-cdn.com/flex013/user_avatar/discuss.flower.ai/flower/32/17_2.png) [@flower](https://discuss.flower.ai/u/flower)\
**Post date:** [February 29, 2024, 4:28pm UTC](https://discuss.flower.ai/t/paper-on-bagging-aggregation-strategy-used-for-xgboost/114/1 "2024-02-29T16:28:44Z")

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_This question was migrated from the Slack channel [#questions](https://friendly-flower.slack.com/archives/C01RM6LMKQA/p1707341345409899)._

**Original Question:**  
Hello everyone, can someone point me to the paper (if it exists) that proposes the bagging aggregation strategy used for XGBoost?

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**Answer:**

Hi! The bagging aggregation strategy used for XGBoost is not based on a specific paper, rather, it is a common and effective way to do tree ensemble, which can be used for federated XGBoost.Here are some related materials to help understand this method:

1. Paper: [https://arxiv.org/pdf/2011.02796.pdf](https://arxiv.org/pdf/2011.02796.pdf), it’s about how to do FL with Gradient boosting decision tree (GBDT), XGBoost belongs to GBDT.
2. Wikipedia of bootstrap bagging: [Bootstrap aggregating - Wikipedia](https://en.wikipedia.org/wiki/Bootstrap_aggregating)