Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #4

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update README.md #4

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,7 @@ This [webportal](http://federated-learning.org/) keeps track of books, workshops
|[Fed_ModelNet40](https://github.com/FederatedAI/research/tree/main/datasets/Fed_Multiview_Gen)|It consists of images taken from various views of 3D models, and can be used for vertical federated learning research.|
|[NUS WIDE](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html)|To simulate a vertical federated learning setting, the image features of samples is put on one party and the textual tags on another party.|
|[CheXpert](https://stanfordmlgroup.github.io/competitions/chexpert/)|CheXpert is a large dataset of chest X-rays and can be used for vertical federated learning research.|
|[IOFT](https://ioft-data.engin.umich.edu/)|This website was created to serve as central directory for IoFT-based datasets. It features brief descriptions of each dataset categorized by its respective field with a link to the repository (research lab website, GitHub account, papers, etc..) where the data is contained. Our hope is to provide a means for model validation within different domains for IoFT, encourage researchers to develop real-life datasets for IoFT, and help with the outreach and visibility of their datasets and corresponding papers. |


## Publications
Expand Down