Enabling AI innovation via data and model sharing: An overview of the NSF Convergence Accelerator Track D

Author:

Baru Chaitanya1,Pozmantier Michael1,Altintas Ilkay2,Baek Stephen3,Cohen Jonathan4,Condon Laura5,Fanti Giulia6,Fernandez Raul Castro7,Jackson Ethan8,Lall Upmanu9,Landman Bennett10,Li Hai Helen11,Marin Claudia12,Lopez Beatriz Martinez13,Metaxas Dimitris14,Olsen Bradley15,Page Grier16,Shang Jingbo2,Turkan Yelda17,Zhang Peng18

Affiliation:

1. National Science Foundation

2. University of California San Diego

3. University of Virginia

4. Princeton University

5. University of Arizona

6. Carnegie Mellon University

7. University of Chicago

8. Microsoft Corporation

9. Columbia University

10. Vanderbilt University

11. Duke University

12. Howard University

13. University of California Davis

14. Rutgers University

15. MIT

16. RTI

17. Oregon State University

18. Stony Brook University

Publisher

Wiley

Subject

Artificial Intelligence

Reference45 articles.

1. Altintas I.2020. Artificial Intelligence and Community Driven Wildland Fire Innovation via a WIFIRE Commons Infrastructure for Data and Model Sharing. NSF Award abstract.https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040676&HistoricalAwards=false. Accessed: Feb 28 2022.

2. Baek S.2020. ImagiQ: Asynchronous and Decentralized Federated Learning for Medical Imaging. NSF Award abstract.https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040532&HistoricalAwards=false. Accessed: Feb 28 2022.

3. Resource Estimation in High Performance Medical Image Computing

4. PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

5. CMI2018. Workshop on Common Model Infrastructure at ACM KDD Conference 2018 London UK August 20 2018.https://cmi2018.sdsc.edu/

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