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Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources., , and . e-Science, page 267-268. IEEE, (2021)Assessing the Current State of AWS Spot Market Forecastability., , , , , and . SuperCompCloud, page 8-15. IEEE, (2022)Tournament-Based Pretraining to Accelerate Federated Learning., , , , , and . SC Workshops, page 109-115. ACM, (2023)Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments., , , , , , and . IPDPS Workshops, page 66-75. IEEE, (2021)Balancing Federated Learning Trade-Offs for Heterogeneous Environments., , , and . PerCom Workshops, page 404-407. IEEE, (2023)Profiling and Predicting Application Performance on the Cloud., , , , , and . UCC, page 21-30. IEEE Computer Society, (2018)ParaOpt: Automated Application Parameterization and Optimization for the Cloud., , , , , , , , , and . CloudCom, page 255-262. IEEE, (2019)Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis., , , , , , , , , and 2 other author(s). ICPE (Companion), page 72-76. ACM, (2024)Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff., , , , , and . IEEE BigData, page 3616-3622. IEEE, (2019)FLoX: Federated Learning with FaaS at the Edge., , , , , , , and . e-Science, page 11-20. IEEE, (2022)