Matt Baughman
Matt Baughman
PhD Student in Computer Science, University of Chicago
Verified email at - Homepage
Cited by
Cited by
CANDLE/Supervisor: A workflow framework for machine learning applied to cancer research
JM Wozniak, R Jain, P Balaprakash, J Ozik, NT Collier, J Bauer, F Xia, ...
BMC bioinformatics 19, 59-69, 2018
Predicting Amazon spot prices with LSTM networks
M Baughman, C Haas, R Wolski, I Foster, K Chard
Proceedings of the 9th workshop on scientific cloud computing, 1-7, 2018
Coding the computing continuum: Fluid function execution in heterogeneous computing environments
R Kumar, M Baughman, R Chard, Z Li, Y Babuji, I Foster, K Chard
2021 IEEE International Parallel and Distributed Processing Symposium …, 2021
Deconstructing the 2017 changes to AWS spot market pricing
M Baughman, S Caton, C Haas, R Chard, R Wolski, I Foster, K Chard
Proceedings of the 10th Workshop on Scientific Cloud Computing, 19-26, 2019
Profiling and predicting application performance on the cloud
M Baughman, R Chard, L Ward, J Pitt, K Chard, I Foster
11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2018
Flox: Federated learning with faas at the edge
N Kotsehub, M Baughman, R Chard, N Hudson, P Patros, O Rana, ...
2022 IEEE 18th International Conference on e-Science (e-Science), 11-20, 2022
Rural AI: Serverless-powered federated learning for remote applications
P Patros, M Ooi, V Huang, M Mayo, C Anderson, S Burroughs, ...
IEEE Internet Computing 27 (2), 28-34, 2022
ParaOpt: Automated Application Parameterization and Optimization for the Cloud
C Wu, T Summer, Z Li, A Woodard, R Chard, M Baughman, Y Babuji, ...
2019 IEEE International Conference on Cloud Computing Technology and Science …, 2019
Hierarchical and decentralised federated learning
O Rana, T Spyridopoulos, N Hudson, M Baughman, K Chard, I Foster, ...
2022 Cloud Continuum, 1-9, 2022
Adaptive edge-cloud environments for rural AI
O Almurshed, P Patros, V Huang, M Mayo, M Ooi, R Chard, K Chard, ...
2022 IEEE International Conference on Services Computing (SCC), 74-83, 2022
Expanding cost-aware function execution with multidimensional notions of cost
M Baughman, R Kumar, I Foster, K Chard
Proceedings of the 1st Workshop on High Performance Serverless Computing, 9-12, 2020
Accelerating communications in federated applications with transparent object proxies
JG Pauloski, V Hayot-Sasson, L Ward, N Hudson, C Sabino, ...
Proceedings of the International Conference for High Performance Computing …, 2023
Trillion parameter ai serving infrastructure for scientific discovery: A survey and vision
NC Hudson, JG Pauloski, M Baughman, A Kamatar, M Sakarvadia, ...
Proceedings of the IEEE/ACM 10th International Conference on Big Data …, 2023
Assessing the Current State of AWS Spot Market Forecastability
S Caton, M Baughman, C Haas, R Chard, I Foster, K Chard
2022 IEEE/ACM International Workshop on Interoperability of Supercomputing …, 2022
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff
M Baughman, N Chakubaji, HL Truong, K Kreics, K Chard, I Foster
The Third IEEE International Workshop on Benchmarking, Performance Tuning …, 2019
RuralAI in tomato farming: Integrated sensor system, distributed computing and hierarchical federated learning for crop health monitoring
H Devaraj, S Sohail, B Li, N Hudson, M Baughman, K Chard, R Chard, ...
IEEE Sensors Letters, 2024
Measurement and applications: Exploring the challenges and opportunities of hierarchical federated learning in sensor applications
MPL Ooi, S Sohail, VG Huang, N Hudson, M Baughman, O Rana, A Hinze, ...
IEEE Instrumentation & Measurement Magazine 26 (9), 21-31, 2023
Tournament-Based Pretraining to Accelerate Federated Learning
M Baughman, N Hudson, R Chard, A Bauer, I Foster, K Chard
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
Balancing Federated Learning Trade-Offs for Heterogeneous Environments
M Baughman, N Hudson, I Foster, K Chard
2023 IEEE International Conference on Pervasive Computing and Communications …, 2023
Exploring tradeoffs in federated learning on serverless computing architectures
M Baughman, I Foster, K Chard
2022 IEEE 18th International Conference on e-Science (e-Science), 433-434, 2022
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