Our work on supporting diverse machine learning models by collecting a robust coreset was featured in the article “Machine learning algorithms promise better situational awareness“, published by U.S. Army CCDC Army Research Laboratory Public Affairs. The work is part of Hanlin’s thesis research, originally published in Globecom’19 and JSAC’20. We thank our government partner Dr. Kevin Chan and ARL for their generous support.