Construct · 1 fields · 1 citations

federated learning: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Machine learning

training a shared model across many devices or organizations while the raw data stays local and only model updates are combined.

In machine learning, federated learning refers to training a shared model across many devices or organizations while the raw data stays local and only model updates are combined. This meaning comes from Yang (2019) in ACM Transactions on Intelligent Systems and Technology.[1]

Unit
Recovery means
Measured by

Run it through the Collider, or take the citations with you.

See how federated learning sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in Collider Export BibTeX Report this entry

Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs training3 fields · 5 citationsjingle · one word, three constructs

References

Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019). Federated Machine Learning: Concept and Applications. ACM Transactions on Intelligent Systems and Technology, 10(2), 1-19. https://doi.org/10.1145/3298981

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct