Trained machine learning models jointly from data held on Earth and data held on the station, without pooling the data.
| Operator | Hewlett Packard Enterprise, with NASA |
|---|---|
| Developer | Hewlett Packard Enterprise |
| Host | HPE Spaceborne Computer-2, International Space Station |
| Where | space station |
| Class | learning |
| Hardware | HPE Spaceborne Computer-2 |
| Model or software | Federated learning; no model named |
| Launched | not applicable |
| Ran | by February 2024 |
“HPE completes first Project FLUID experiment in collaboration with NASA”
Hewlett Packard Enterprise: operator of the host computer. Accelerating space exploration with the Spaceborne Computer, Hewlett Packard Enterprise. Published 29 Feb 2024 (date of the entry on the page). Read 4 Oct 2026, in part: the first 16 of 64 timeline entries, and four entries in full. Read from an Internet Archive capture of the page.
“This experiment resulted in the first successful implementation of machine learning models trained in a federated manner using data held separately on both Earth and aboard the International Space Station.”
Hewlett Packard Enterprise: operator of the host computer. Accelerating space exploration with the Spaceborne Computer, Hewlett Packard Enterprise. Published 29 Feb 2024 (date of the entry on the page). Read 4 Oct 2026, in part: the first 16 of 64 timeline entries, and four entries in full. Read from an Internet Archive capture of the page.
The source is a timeline entry of two sentences. No paper or data was found.