Matthew Dwyer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Gradient Boosting

Resource Allocation

Top Venues

Publications

Zonghong Liu, Salim El Rouayheb, Matthew Dwyer
The Entrapment Problem in Random Walk Decentralized Learning. CoRR (2024)
Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer
Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC. BigData (2023)
Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer
Characterizing Distributed Inferencing at the Edge in Resource-Constrained Environments. MILCOM (2023)
Olena Tkachenko, Sean Harding, Cleon Anderson, Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan
Characterizing the Performance of Distributed Edge Processing Resource Allocation in Dynamic Networked Environments. MILCOM (2023)
Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer
Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression. BigData (2023)
John Corcoran, Eric Graves, Bryan Dawson, Matthew Dwyer, Paul Yu, Kevin Chan
Adaptive Monitoring for Analytics Placement in Tactical Networks. MILCOM (2022)
Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan, Cleon Anderson, Scott Brown
Enabling Machine Learning on Resource-constrained Tactical Networks. MILCOM (2022)
Matthew Dwyer, Nicole Kaff, Jacob Cohen, Michael Frauenhoffer
Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads. IEEE BigData (2019)
Matthew Dwyer, John Hwang, Alexander Shires, Jacob Cohen
Application of Comprehensive Data Analysis for Interactive, Hierarchical Views of HPC Workloads. IEEE BigData (2018)