Enabling AI innovation via data and model sharing: An overview of the NSF Convergence Accelerator Track D-Reference-Cited by-同舟云学术

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

Published:2022-03 Issue:1 Volume:43 Page:93-104
ISSN:0738-4602
Container-title:AI Magazine
language:en
Short-container-title:AI Magazine

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aaai.12042

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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