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Olivera Kotevska

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#federated learning Open access Oct 2026

BOF: Trustworthy Privacy-Preserved Federated Learning for Science

The session Federated learning offers a promising approach for enabling collaborative scientific discovery while preserving the privacy of sensitive data across institutions. This BOF brought together researchers and practitioners to discuss trustworthy, privacy-preserving federated learning frameworks tailored for sci...

Olivera Kotevska, Ravi Madduri, Kibaek Kim · 0 citations
#federated learning Open access Oct 2026

Project: Privacy-Preserving Federated Learning for Science

This repository is part of a U.S. Department of Energy (DOE) Advanced Scientific Computing Research (ASCR) project focused on developing privacy-preserving federated learning approaches for scientific foundation models. The project aims to advance secure, trustworthy, and sustainable machine learning methodologies for...

Olivera Kotevska · 0 citations

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