Enabling Machine Learning on Resource-constrained Tactical Networks. - Jake B. Perazzone; Matthew Dwyer 004; Kevin S. Chan; Cleon Anderson; Scott E. Brown (MILCOM, 2022)

Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression. - Scott E. Brown; David Harman; Cleon Anderson; Matthew Dwyer 004 (IEEE Big Data, 2023)

Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC. - Scott E. Brown; David Harman; Cleon Anderson; Matthew Dwyer 004 (IEEE Big Data, 2023)

Characterizing Distributed Inferencing at the Edge in Resource-Constrained Environments. - Scott E. Brown; David Harman; Cleon Anderson; Matthew Dwyer 004 (MILCOM, 2023)

Characterizing the Performance of Distributed Edge Processing Resource Allocation in Dynamic Networked Environments. - Olena Tkachenko; Sean Harding; Cleon Anderson; Jake B. Perazzone; Matthew Dwyer 004; Kevin S. Chan (MILCOM, 2023)