Project Grant 2426318

This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering (CFDA 47.070) program, provides $274,648 to Clemson University to develop heterogeneous architectures for collaborative machine learning. The research aims to address key challenges in efficiency, adaptivity, and privacy preservation when deploying collaborative machine learning models across diverse hardware platforms. The project will design specialized neural network architectures, develop an adaptive knowledge transfer framework, and implement privacy-preserving mechanisms to enable collaborative machine intelligence capabilities. This research is expected to open new paradigms for leveraging heterogeneous devices and collaborative approaches to unleash the full potential of machine learning applications across domains such as healthcare, cyber-physical systems, and education. The award period runs from Apr 1, 2024 to Jun 30, 2025.