This $390,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, supports research at Iowa State University of Science and Technology to develop secure and efficient distributed algorithms for solving optimization problems in areas like medical imaging, machine learning, and bioinformatics. The project introduces a novel "Alternating Gradient Descent and Minimization" (AltGDMin) framework that provides faster and more communication-efficient solutions compared to existing techniques. The work aims to enable real-time applications, accelerate data-scarce learning, and enhance privacy in federated settings. The award also supports early math education through the CyMath program, which provides after-school tutoring for young students. No sub-awards are planned under this grant.
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