From b677cc0c7f380b96017448991b61a1123f6f9465 Mon Sep 17 00:00:00 2001 From: qbc Date: Mon, 17 Oct 2022 20:29:47 +0800 Subject: [PATCH 1/4] 20221017 --- materials/paper_list/FL-Tree/README.md | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 materials/paper_list/FL-Tree/README.md diff --git a/materials/paper_list/FL-Tree/README.md b/materials/paper_list/FL-Tree/README.md new file mode 100644 index 000000000..72c991dd4 --- /dev/null +++ b/materials/paper_list/FL-Tree/README.md @@ -0,0 +1,20 @@ +# Federated Database + +# 2022 +| Title | Venue | Link | +| -------- | ---------- |---------------------------------------------| + | FedTree: A Fast, Effective, and Secure Tree-based Federated Learning System | | [pdf](https://github.com/Xtra-Computing/FedTree/blob/main/FedTree_draft_paper.pdf) | + +# 2021 +| Title | Venue | Link | +| --- |--------------------------------------------------------| --- | + | Large-Scale Secure XGB for Vertical Federated Learning | CIKM | [pdf](https://arxiv.org/pdf/2005.08479.pdf) | + | SecureBoost: A Lossless Federated Learning Framework | IEEE Intelligent Systems | [pdf](https://arxiv.org/pdf/1901.08755.pdf) | + | 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 +| 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)| From 04d5d422cb5427439e0b312297c8727d683b0d3e Mon Sep 17 00:00:00 2001 From: qbc Date: Fri, 4 Nov 2022 16:59:03 +0800 Subject: [PATCH 2/4] add OpBoost paper --- materials/paper_list/FL-Tree/README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/materials/paper_list/FL-Tree/README.md b/materials/paper_list/FL-Tree/README.md index b479184c6..ac1fb37cc 100644 --- a/materials/paper_list/FL-Tree/README.md +++ b/materials/paper_list/FL-Tree/README.md @@ -2,9 +2,10 @@ # Federated Database # 2022 -| Title | Venue | Link | -| -------- |-------|---------------------------------------------| - | Federated Boosted Decision Trees with Differential Privacy | arxiv | [pdf](https://arxiv.org/pdf/2210.02910.pdf) | +| 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 | Title | Venue | Link | From d2b7a1209d68d8bde4d5a89c701138d7dec6237f Mon Sep 17 00:00:00 2001 From: qbc Date: Fri, 4 Nov 2022 17:06:41 +0800 Subject: [PATCH 3/4] add OpBoost paper refined --- materials/paper_list/FL-Tree/README.md | 36 +++++--------------------- 1 file changed, 7 insertions(+), 29 deletions(-) diff --git a/materials/paper_list/FL-Tree/README.md b/materials/paper_list/FL-Tree/README.md index ac1fb37cc..b5b4f3835 100644 --- a/materials/paper_list/FL-Tree/README.md +++ b/materials/paper_list/FL-Tree/README.md @@ -1,42 +1,20 @@ -<<<<<<< HEAD -# Federated Database - -# 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 -| Title | Venue | Link | -| --- |--------------------------------------------------------| --- | - | Large-Scale Secure XGB for Vertical Federated Learning | CIKM | [pdf](https://arxiv.org/pdf/2005.08479.pdf) | - | SecureBoost: A Lossless Federated Learning Framework | IEEE Intelligent Systems | [pdf](https://arxiv.org/pdf/1901.08755.pdf) | - | 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 -| 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)| -======= -# Federated Learning for Tree +## Federated Learning for Tree 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) | @@ -44,8 +22,8 @@ This list is constantly being updated. Feel free to contribute! | 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)| ->>>>>>> 99a4c2bb06fb741b66ac5cfdf562f51be19ada66 + From 130070b10b6cfcd9bc383c407d5756585ec0d794 Mon Sep 17 00:00:00 2001 From: qbc Date: Fri, 4 Nov 2022 18:18:41 +0800 Subject: [PATCH 4/4] change the title to tree-based models --- materials/paper_list/FL-Tree/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/materials/paper_list/FL-Tree/README.md b/materials/paper_list/FL-Tree/README.md index b5b4f3835..8eefdc8a0 100644 --- a/materials/paper_list/FL-Tree/README.md +++ b/materials/paper_list/FL-Tree/README.md @@ -1,4 +1,4 @@ -## Federated Learning for Tree +## Federated Learning for Tree-based Models This list is constantly being updated. Feel free to contribute! ### 2022