Search Results for author: Ravi K. Madduri

Found 2 papers, 1 papers with code

FAIR for AI: An interdisciplinary and international community building perspective

no code implementations • 30 Sep 2022 • E. A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian Foster, Geoffrey Fox, Philip Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu

A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data.

Management

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APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

1 code implementation • 8 Feb 2022 • Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri

Federated learning (FL) enables training models at different sites and updating the weights from the training instead of transferring data to a central location and training as in classical machine learning.

Federated Learning Privacy Preserving

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