From b677cc0c7f380b96017448991b61a1123f6f9465 Mon Sep 17 00:00:00 2001 From: qbc Date: Mon, 17 Oct 2022 20:29:47 +0800 Subject: [PATCH 1/3] 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 ea543b31c53b818caf5a3d5a384a7649782f4794 Mon Sep 17 00:00:00 2001 From: qbc Date: Fri, 21 Oct 2022 10:57:15 +0800 Subject: [PATCH 2/3] fix hyperlink issue of configs --- federatedscope/contrib/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/federatedscope/contrib/README.md b/federatedscope/contrib/README.md index e5f272d85..2402c972b 100644 --- a/federatedscope/contrib/README.md +++ b/federatedscope/contrib/README.md @@ -2,7 +2,7 @@ In addition to the rich collection of datasets, models, evaluation metrics, etc., FederatedScope (FS) also allows users to create their own ingredients or introduce more customized modules to FS. Inspired by GraphGym, we provide `register` mechanism to help integrating your own components into the FS-based federated learning workflow, including: -* Configurations [`federatedscope/contrib/config`](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/contrib/config) +* Configurations [`federatedscope/contrib/configs`](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/contrib/configs) * Data [`federatedscope/contrib/data`](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/contrib/data) * Loss [`federatedscope/contrib/loss`](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/contrib/loss) * Metrics [`federatedscope/contrib/metrics`](https://github.com/alibaba/FederatedScope/tree/master/federatedscope/contrib/metrics) From 26d8e21ceb7640a6f521189953f5711c45f1bf60 Mon Sep 17 00:00:00 2001 From: qbc Date: Fri, 21 Oct 2022 11:06:07 +0800 Subject: [PATCH 3/3] delete redundant files --- materials/paper_list/FL-Tree/README.md | 20 -------------------- 1 file changed, 20 deletions(-) delete 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 deleted file mode 100644 index 72c991dd4..000000000 --- a/materials/paper_list/FL-Tree/README.md +++ /dev/null @@ -1,20 +0,0 @@ -# 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)|