Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning

no code implementations • 15 Jan 2024 • William Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo

The utility of machine learning has rapidly expanded in the last two decades and presents an ethical challenge.

Federated Learning Privacy Preserving +1

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

2 code implementations • 31 Oct 2017 • Arka Daw, Anuj Karpatne, William Watkins, Jordan Read, Vipin Kumar

This paper introduces a framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery.