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PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models

Overview of attention for article published in arXiv, November 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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5 X users

Readers on

mendeley
11 Mendeley
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Article details
Title
PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models
Published in
arXiv, November 2024
DOI 10.1145/3697294.3697306
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 1 9%
Unknown 10 91%
Readers by discipline
Readers by discipline Count As %
Computer Science 1 9%
Unknown 10 91%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 November 2024.
All research outputs
#8,536,579
of 27,288,214 outputs
Outputs from arXiv
#144,817
of 1,048,954 outputs
Outputs of similar age
#44,102
of 158,062 outputs
Outputs of similar age from arXiv
#1,896
of 27,160 outputs
Altmetric has tracked 27,288,214 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,048,954 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 86% 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 158,062 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 72% of its contemporaries.
We're also able to compare this research output to 27,160 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 93% of its contemporaries.