In some embodiments, an edge device is configured to execute machine learning procedures with a sparse dataset. The edge device includes at least (1) one or more sensor interfaces, (2) one or more microcontrollers (MCUs), and one or more memories in communication with the one or more microcontrollers. The one or more memories contain one or more executable instructions that cause the one or more microcontrollers to perform operations that include at least: (a) receiving one or more batches of real-time sensor data via the one or more sensor interfaces, the one or more batches defining the sparse dataset, and creating one or more batches of augmented data with the one or more batches of real-time sensor data and one or more batches of generated synthetic data. In some embodiments the edge device is a resource-constrained edge device.