Matthew Dwyer

According to our database, Matthew Dwyer authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decentralized Learning via Random Walk with Jumps.

Zonghong Liu, Matthew Dwyer, Salim El Rouayheb

CoRR, April, 2026

2025

Stochastic Resource Allocation Leveraging Adaptive Network Monitoring and Tactical Edge Networks.

Kevin S. Chan, Julia Deeb-Swihart, Matthew Dwyer, Eric Graves, Sean Harding, Olena Tkachenko

Proceedings of the IEEE Military Communications Conference, 2025

Decentralized Model-Distributed Inference.

Alp Berke Ardic, Matthew Dwyer, Erdem Koyuncu

Proceedings of the IEEE Military Communications Conference, 2025

Probabilistic Latency Modeling for Heterogeneous Inference Tasks in Resource-Constrained Networks.

Cleon Anderson, Scott E. Brown, Matthew Dwyer, David Harman, Tian Lan

Proceedings of the IEEE Military Communications Conference, 2025

2024

The Entrapment Problem in Random Walk Decentralized Learning.

Zonghong Liu, Salim El Rouayheb, Matthew Dwyer

Proceedings of the IEEE International Symposium on Information Theory, 2024

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, Kevin S. Chan

Proceedings of the IEEE Military Communications Conference, 2023

Characterizing Distributed Inferencing at the Edge in Resource-Constrained Environments.

Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer

Proceedings of the IEEE Military Communications Conference, 2023

Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC.

Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer

Proceedings of the IEEE International Conference on Big Data, 2023

Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression.

Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Enabling Machine Learning on Resource-constrained Tactical Networks.

Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan, Cleon Anderson, Scott E. Brown

Proceedings of the IEEE Military Communications Conference, 2022

Adaptive Monitoring for Analytics Placement in Tactical Networks.

John Corcoran, Eric Graves, Bryan Dawson, Matthew Dwyer, Paul L. Yu, Kevin Chan

Proceedings of the IEEE Military Communications Conference, 2022

2019

Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads.

Matthew Dwyer, Nicole Kaff, Jacob Cohen, Michael Frauenhoffer

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Application of Comprehensive Data Analysis for Interactive, Hierarchical Views of HPC Workloads.

Matthew Dwyer, John Hwang, Alexander Shires, Jacob Cohen

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018