3DML - Data:
Enable the automated collection of user-defined datasets labeled by design, with the ability to operate in networks at different scales.
Take advantage of the fully observable stack being developed by the POWDER-RENEW platform to collect rich datasets that capture diverse network operating states and configurations.
3DML - Client:
An automated model-builder to generate efficient ML models and deployment strategies given an application (i.e., dataset), performance specification (e.g., task accuracy and energy efficiency), and target deployment device (e.g., drones).
A model compression library of efficient ML modules and functions to be readily available to the model-builder and non-expert developers for fast development.
3DML - Infrastructure:
Make use of 3DML-Client with data collected from 3DML-Data to generate ML models for wireless infrastructure.
A methodology to customize key modules for Massive MIMO channel estimation, detection, decoding, beamforming, and spectrum sharing.