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Matthew Dwyer
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 8
Top Topics
Gradient Boosting
Leader Follower
Predictive Modeling
Data Analysis
Top Venues
MILCOM
IEEE BigData
BigData
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Publications
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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)