$FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy$

FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy

1 July 2022

Pranshu Chaturvedi

Aristana Scourtas

Papers citing "FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy"

7 / 7 papers shown

Title
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System Ravi K. Madduri Zilinghan Li Tarak Nandi Kibaek Kim Minseok Ryu Alex Rodriguez 28 1 0 29 Sep 2024
Data Readiness for AI: A 360-Degree Survey Kaveen Hiniduma Suren Byna J. L. Bez 30 5 0 08 Apr 2024
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service Zilinghan Li Shilan He Pranshu Chaturvedi Trung-Hieu Hoang Minseok Ryu ... Jordan D. Fuhrman Maryellen L. Giger Ryan Chard Kibaek Kim Ravi K. Madduri 28 5 0 17 Aug 2023
FAIR AI Models in High Energy Physics Javier Mauricio Duarte Haoyang Li Avik Roy Ruike Zhu Eliu A. Huerta ... Mark S. Neubauer Sang Eon Park M. Quinnan R. Rusack Zhizhen Zhao 25 8 0 09 Dec 2022
FAIR for AI: An interdisciplinary and international community building perspective Eliu A. Huerta B. Blaiszik L. C. Brinson Kristofer E Bouchard Daniel Madrigal Diaz ... F. Psomopoulos Avik Roy Oliver Rübel Zhizhen Zhao Ruike Zhu 28 41 0 30 Sep 2022
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences Rafael Vescovi Ryan Chard Nickolaus Saint B. Blaiszik J. Pruyne ... M. Papka Suresh Narayanan Nicholas Schwarz Kyle Chard Ian T. Foster 24 0 0 11 Apr 2022
funcX: A Federated Function Serving Fabric for Science Ryan Chard Y. Babuji Zhuozhao Li Tyler J. Skluzacek A. Woodard B. Blaiszik Ian T. Foster Kyle Chard 33 186 0 07 May 2020