| 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 | 100 | 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 | 58 | 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 | 33 | 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 | 31 | 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 | 26 | 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 | 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 | 18 | 2022 |
| Hierarchical and decentralised federated learning O Rana, T Spyridopoulos, N Hudson, M Baughman, K Chard, I Foster, ... 2022 Cloud Continuum, 1-9, 2022 | 13 | 2022 |
| 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 | 12 | 2023 |
| 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 | 9 | 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 | 9 | 2019 |
| 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 | 7 | 2020 |
| QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing N Hudson, H Khamfroush, M Baughman, DE Lucani, K Chard, I Foster Future Generation Computer Systems 157, 250-263, 2024 | 6 | 2024 |
| 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 | 6 | 2024 |
| 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 | 4 | 2023 |
| 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 | 3 | 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 | 3 | 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 | 3 | 2019 |
| 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 | 2 | 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 | 2 | 2023 |
