Matt Baughman

28 papers A 1B 4C 2Misc 1Journal 9Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Flight: A FaaS-based framework for complex and Hierarchical Federated Learning.
Future Gener. Comput. Syst.
Nathaniel Hudson, Valérie Hayot-Sasson, Yadu Nand Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard
2026 J jnl
Implications of Grid-Forming Inverter Parameters on Disturbance Localization and Controllability.
CoRR
Matt Baughman, Marena Trujillo, Bri-Mathias S. Hodge, Emily Jensen
2024 B conf
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions.
e-Science
André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard
2024 — conf
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints.
PEARC
Rachana Ananthakrishnan, Yadu N. Babuji, Matt Baughman, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Daniel S. Katz, Kevin Hunter Kesling, Chris Janidlo, Reid Mello, Lei Wang
2024 J jnl
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning.
CoRR
Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard
2024 J jnl
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing.
Future Gener. Comput. Syst.
Nathaniel Hudson, Hana Khamfroush, Matt Baughman, Daniel E. Lucani, Kyle Chard, Ian T. Foster
2024 J jnl
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
CoRR
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
2024 — conf
Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis.
ICPE (Companion)
André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard
2023 A conf
Accelerating Communications in Federated Applications with Transparent Object Proxies.
SC
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
2023 J jnl
Accelerating Communications in Federated Applications with Transparent Object Proxies.
CoRR
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
2023 — conf
Balancing Federated Learning Trade-Offs for Heterogeneous Environments.
PerCom Workshops
Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard
2023 J jnl
Hierarchical and Decentralised Federated Learning.
CoRR
Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan
2023 J jnl
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.
IEEE Instrum. Meas. Mag.
Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra
2023 J jnl
Rural AI: Serverless-Powered Federated Learning for Remote Applications.
IEEE Internet Comput.
Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster
2023 — conf
Tournament-Based Pretraining to Accelerate Federated Learning.
SC Workshops
Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard
2023 C conf
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
BDCAT
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster
2022 — conf
Adaptive Edge-Cloud Environments for Rural AI.
SCC
Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster
2022 — conf
Assessing the Current State of AWS Spot Market Forecastability.
SuperCompCloud
Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard
2022 B conf
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures.
e-Science
Matt Baughman, Ian T. Foster, Kyle Chard
2022 B conf
FLoX: Federated Learning with FaaS at the Edge.
e-Science
Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard
2021 — conf
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.
IPDPS Workshops
Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard
2021 B conf
Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources.
e-Science
Matt Baughman, Ian T. Foster, Kyle Chard
2021 — conf
Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost.
HiPS@HPDC
Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard
2019 — conf
Deconstructing the 2017 Changes to AWS Spot Market Pricing.
ScienceCloud@HPDC
Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard
2019 — conf
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff.
IEEE BigData
Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian T. Foster
2019 C conf
ParaOpt: Automated Application Parameterization and Optimization for the Cloud.
CloudCom
Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt
2018 — conf
Predicting Amazon Spot Prices with LSTM Networks.
ScienceCloud@HPDC
Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard
2018 Misc conf
Profiling and Predicting Application Performance on the Cloud.
UCC
Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster