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Federated learning on non-IID data: A survey

Overview of attention for article published in Neurocomputing, November 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
1 X user
patent
3 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
456 Mendeley
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Article details
Title
Federated learning on non-IID data: A survey
Published in
Neurocomputing, November 2021
DOI 10.1016/j.neucom.2021.07.098
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 456 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 456 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 67 15%
Student > Master 25 5%
Researcher 25 5%
Student > Doctoral Student 12 3%
Student > Bachelor 10 2%
Other 46 10%
Unknown 271 59%
Readers by discipline
Readers by discipline Count As %
Computer Science 125 27%
Engineering 30 7%
Unspecified 5 1%
Agricultural and Biological Sciences 2 <1%
Economics, Econometrics and Finance 2 <1%
Other 13 3%
Unknown 279 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2026.
All research outputs
#4,959,043
of 34,089,221 outputs
Outputs from Neurocomputing
#206
of 5,393 outputs
Outputs of similar age
#83,493
of 473,517 outputs
Outputs of similar age from Neurocomputing
#10
of 306 outputs
Altmetric has tracked 34,089,221 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,393 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 473,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 306 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.