search

Yanci87 / LR-XFL

Open-source code for AAAI-24 paper "LR-XFL: Logical Reasoning-based Explainable Federated Learning"
MIT License
0 stars 1 forks source link

hi，please provide your data in this paper,thanks #1

Closed twythebest closed 2 months ago

twythebest commented 2 months ago

hi，please provide your data in this paper,thanks

Yanci87 commented 2 months ago

Hi,

You can find the MIMIC dataset via https://archive.physionet.org/mimic2/, the VDem dataset via https://www.v-dem.net/data/dataset-archive/country-year-v-dem-fullothers-v11/, the MNIST dataset via https://yann.lecun.com/exdb/mnist/, and the CUB dataset via https://www.vision.caltech.edu/datasets/cub_200_2011/. The preprocess for MNIST and CUB follows https://github.com/pietrobarbiero/logic_explained_networks/tree/Experments?tab=readme-ov-file

twythebest commented 2 months ago

and please inform me that what version your pytorch_lightning is?thanks!

twy @.***

 

------------------ 原始邮件 ------------------ 发件人: "Yanci87/LR-XFL" @.>; 发送时间: 2024年8月12日(星期一) 下午4:11 @.>; @.**@.>; 主题: Re: [Yanci87/LR-XFL] hi，please provide your data in this paper,thanks (Issue #1)

Hi,

You can find the MIMIC dataset via https://archive.physionet.org/mimic2/, the VDem dataset via https://www.v-dem.net/data/dataset-archive/country-year-v-dem-fullothers-v11/, the MNIST dataset via https://yann.lecun.com/exdb/mnist/, and the CUB dataset via https://www.vision.caltech.edu/datasets/cub_200_2011/. The preprocess for MNIST and CUB follows https://github.com/pietrobarbiero/logic_explained_networks/tree/Experments?tab=readme-ov-file

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

Yanci87 commented 2 months ago

The pytorch-lightning version is 1.7.7

twythebest commented 2 months ago

sorry for asking that:what your torch and pytorch version is?

twy @.***

 

------------------ 原始邮件 ------------------ 发件人: "Yanci87/LR-XFL" @.>; 发送时间: 2024年8月12日(星期一) 下午4:44 @.>; @.**@.>; 主题: Re: [Yanci87/LR-XFL] hi，please provide your data in this paper,thanks (Issue #1)

The pytorch-lightning version is 1.7.7

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

twythebest commented 2 months ago

sorry for bothering you:I am a student ,and I cannot have the acess to MIMIC dataset ,please provide me with that, I promised to use it just for learning FL,I will be very grateful if you can give me this dataset,thanks!

twy @.***

 

------------------ 原始邮件 ------------------ 发件人: "Yanci87/LR-XFL" @.>; 发送时间: 2024年8月12日(星期一) 下午4:11 @.>; @.**@.>; 主题: Re: [Yanci87/LR-XFL] hi，please provide your data in this paper,thanks (Issue #1)

Hi,

You can find the MIMIC dataset via https://archive.physionet.org/mimic2/, the VDem dataset via https://www.v-dem.net/data/dataset-archive/country-year-v-dem-fullothers-v11/, the MNIST dataset via https://yann.lecun.com/exdb/mnist/, and the CUB dataset via https://www.vision.caltech.edu/datasets/cub_200_2011/. The preprocess for MNIST and CUB follows https://github.com/pietrobarbiero/logic_explained_networks/tree/Experments?tab=readme-ov-file

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>