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add one new paper #422

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Nov 4, 2022
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add one new paper #422

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qbc2016 Oct 17, 2022
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Merge branch 'master' of https://github.com/alibaba/FederatedScope
qbc2016 Oct 18, 2022
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refine master
qbc2016 Nov 4, 2022
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add OpBoost paper
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add OpBoost paper refined
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change the title to tree-based models
qbc2016 Nov 4, 2022
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12 changes: 7 additions & 5 deletions materials/paper_list/FL-Tree/README.md
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# Federated Learning for Tree
## Federated Learning for Tree
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Maybe we should change it to "Federated Learning for Tree-based Models"

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fine

This list is constantly being updated. Feel free to contribute!

# 2022
### 2022
| Title | Venue | Link |
| -------- |-------|---------------------------------------------------------------------------------------------------------|
|OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization| arxiv | [pdf](https://arxiv.org/pdf/2210.01318.pdf), [code](https://github.com/alibaba-edu/mpc4j/tree/main/mpc4j-sml-opboost) |
|Federated Boosted Decision Trees with Differential Privacy| arxiv | [pdf](https://arxiv.org/pdf/2210.02910.pdf) |

# 2021
### 2021
| Title | Venue | Link |
| --- |--------------------------------------------------------|-----------------------------------------------------------------------------------------------|
| Large-Scale Secure XGB for Vertical Federated Learning | CIKM | [pdf](https://arxiv.org/pdf/2005.08479.pdf), [code](https://github.com/secretflow/secretflow) |
| SecureBoost: A Lossless Federated Learning Framework | IEEE Intelligent Systems | [pdf](https://arxiv.org/pdf/1901.08755.pdf), [code](https://github.com/FederatedAI/FATE) |
| An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization | ACM Transactions on Intelligent Systems and Technology | [pdf](https://arxiv.org/pdf/2105.05717.pdf) |

# 2020
### 2020
| Title | Venue | Link |
|------------------------------------------------------------------------|-------| --- |
| Practical federated gradient boosting decision trees | AAAI | [pdf](https://arxiv.org/pdf/1911.04206.pdf) |
| FederBoost: Private federated learning for GBDT | arxiv | [pdf](https://arxiv.org/pdf/2011.02796.pdf) |
| Privacy Preserving Vertical Federated Learning for Tree-based Models | VLDB | [pdf](http://www.vldb.org/pvldb/vol13/p2090-wu.pdf)|
| Adaptive histogram-based gradient boosted trees for federated learning | arxiv |[pdf](https://arxiv.org/pdf/2012.06670.pdf)|

# 2019
### 2019
| Title | Venue | Link |
| --- |-------|---------|
|SecureGBM: Secure Multi-Party Gradient Boosting|IEEE International Conference on Big Data| [pdf](https://arxiv.org/pdf/1911.11997.pdf)|