Federated Learning: mmWave MIMO radar dataset for testing
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The database contains the raw range-azimuth measurements obtained from mmWave MIMO radars (IWR1843BOOST http://www.ti.com/tool/IWR1843BOOST) deployed in different positions around a robotic manipulator. Data has been collected inside a workspace environment. The data is used to train a machine learning model for the detection of a human operator placed in different positions (see the image). The Python code (use the link to download) uses the above mentioned data to implement decentralized federated learning stages via consensus and optimize the training loss and latency.
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Savazzi, Stefano创建时间:
2020-05-18



