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cs.LG2021★ 4 cited
Scatterbrained: A flexible and expandable pattern for decentralized machine learning
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. Because data remains local to each compute node, federa…
cs.LG2021
Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize
Susama Agarwala, Benjamin Dees, Andrew Gearhart +1
We study the deformation of the input space by a trained autoencoder via the Jacobians of the trained weight matrices. In doing so, we prove bounds for the mean squared errors for…