Construct · 1 fields · 1 citations

federated averaging: a standalone construct

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

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Machine learning

devices train a shared model locally on their own data and a server averages their updates, so raw data never leaves the devices.

In machine learning, federated averaging refers to devices train a shared model locally on their own data and a server averages their updates, so raw data never leaves the devices. This meaning comes from McMahan (2016) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs server1 fields · 1 citationsanchor · a standalone construct

References

McMahan, H. B., Moore, E., Ramage, D., Hampson, S., & Arcas, B. A. y. (2016). Communication-Efficient Learning of Deep Networks from Decentralized Data. arXiv. https://doi.org/10.48550/arxiv.1602.05629

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