mlsanityData to 7 Oct 2026

funcX: A Federated Function Serving Fabric for Science

arXiv 2005.04215 ↗First posted 7 May 2020cs.DCcited by 32

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Abstract (arXiv)

Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences. These new approaches must enable computation to be mobile, so that, for example, it can occur near data, be triggered by events (e.g., arrival of new data), be offloaded to specialized accelerators, or run remotely where resources are available. They also require new design approaches in which monolithic applications can be decomposed into smaller components, that may in turn be executed separately and on the most suitable resources. To address these needs we present funcX---a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. funcX's endpoint software can transform existing clouds, clusters, and supercomputers into function serving systems, while funcX's cloud-hosted service provides transparent, secure, and reliable function execution across a federated ecosystem of endpoints. We motivate the need for funcX with several scientific case studies, present our prototype design and implementation, show optimizations that deliver throughput in excess of 1 million functions per second, and demonstrate, via experiments on two supercomputers, that funcX can scale to more than more than 130000 concurrent workers.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 May 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 7; 2023: 7; 2024: 7; 2025: 3; 2026: 5.

32 papers.

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  1. 2024Advances in APPFL: A Comprehensive and Extensible Federated Learning Frameworkcited by 19
  2. 2022Deep learning at the edge enables real-time streaming ptychographic imagingcited by 17
  3. 2025Empowering Scientific Workflows with Federated Agentscited by 16
  4. 2022FAIR for AI: An interdisciplinary and international community building perspectivecited by 13
  5. 2021Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computingcited by 10
  6. 2022FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopycited by 10
  7. 2021Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrievalcited by 7
  8. 2024Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Visioncited by 5
  9. 2025FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Accesscited by 5
  10. 2022FAIR AI Models in High Energy Physicscited by 4
  11. 2023APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Servicecited by 4
  12. 2022Globus Automation Services: Research process automation across the space-time continuumcited by 3
20 more
  1. 2022AICCA: AI-driven Cloud Classification Atlascited by 3
  2. 2024Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2cited by 3
  3. 2024Employing Artificial Intelligence to Steer Exascale Workflows with Colmenacited by 3
  4. 2024Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learningcited by 3
  5. 2026Fantastic Scientific Agents and How to Build Them: AgentBuild for Rietveld Refinementcited by 3
  6. 2022fairDMS: Rapid Model Training by Data and Model Reusecited by 2
  7. 2023Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resourcescited by 2
  8. 2023Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clientscited by 2
  9. 2021Ultrafast Focus Detection for Automated Microscopycited by 1
  10. 2023AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resourcescited by 1
  11. 2024Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learningcited by 1
  12. 2025OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPCcited by 1
  13. 2026Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputerscited by 1
  14. 2023A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next stepscited by 0
  15. 2023Hierarchical and Decentralised Federated Learningcited by 0
  16. 2023Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputerscited by 0
  17. 2024Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environmentscited by 0
  18. 2026High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Datacited by 0
  19. 2026Diamond Agent: Agentic Control of Federated HPC Resources as a Servicecited by 0
  20. 2026Reputation as Community Memory for the Agentic Webcited by 0