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Ensemble Federated Learning With Non-IID Data in Wireless Networks

Overview of attention for article published in IEEE Transactions on Wireless Communications, September 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

patent
3 patents

Readers on

mendeley
4 Mendeley
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Title
Ensemble Federated Learning With Non-IID Data in Wireless Networks
Published in
IEEE Transactions on Wireless Communications, September 2023
DOI 10.1109/twc.2023.3309376
Authors

Zhongyuan Zhao, Jingyi Wang, Wei Hong, Tony Q. S. Quek, Zhiguo Ding, Mugen Peng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Unknown 3 75%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 February 2023.
All research outputs
#5,452,627
of 25,394,764 outputs
Outputs from IEEE Transactions on Wireless Communications
#204
of 2,187 outputs
Outputs of similar age
#88,659
of 353,002 outputs
Outputs of similar age from IEEE Transactions on Wireless Communications
#1
of 13 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,187 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 353,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.