Search Results for author: Andrew S. Gearhart

Found 2 papers, 1 papers with code

Tunable Complexity Benchmarks for Evaluating Physics-Informed Neural Networks on Coupled Ordinary Differential Equations

no code implementations14 Oct 2022 Alexander New, Benjamin Eng, Andrea C. Timm, Andrew S. Gearhart

In this work, we assess the ability of physics-informed neural networks (PINNs) to solve increasingly-complex coupled ordinary differential equations (ODEs).

Scatterbrained: A flexible and expandable pattern for decentralized machine learning

1 code implementation14 Dec 2021 Miller Wilt, Jordan K. Matelsky, Andrew S. Gearhart

Federated machine learning is a technique for training a model across multiple devices without exchanging data between them.

BIG-bench Machine Learning Federated Learning

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