Evidence map›Paper›PMID 42812874›Full record

ArticleKDD : proceedings. International Conference on Knowledge Discovery & Data Mining2025

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift.

Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S Yee, Fenglong Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in KDD : proceedings. International Conference on Knowledge Discovery & Data Mining, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tianrun YuThe Pennsylvania State University, University Park, PA, USA.
Jiaqi WangThe Pennsylvania State University, University Park, PA, USA.
Haoyu WangState University of New York at Albany, Latham, NY, USA.
Mingquan LinUniversity of Minnesota, Twin Cities, Minneapolis, MN, USA.
Han LiuDalian University of Technology, Dalian, Liaoning, China.
Nelson S YeeThe Pennsylvania State University, Hershey, PA, USA.
Fenglong MaThe Pennsylvania State University, University Park, PA, USA.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease DetectionR01AG077016 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI HU, JUEJUN, MA, FENGLONG · 2022 to 2025
$1.2M
NCATS NIH HHS UL1 TR002014NIA NIH HHS R01 AG077016
6 · The paper itself

Abstract

Collaborative fairness is a crucial challenge in federated learning. However, existing approaches often overlook a practical yet complex form of heterogeneity:

Indexed as

collaborative fairnesscovariate shiftFederated learningimbalanced dataknowledge distillation

Identifiers

PMID42812874
PMCPMC13622960

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.