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Towards Algorithmic Fairness by means of Instance-level Data
  Re-weighting based on Shapley Values
v1v2v3v4 (latest)

Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values

3 March 2023
Adrián Arnaiz-Rodríguez
Nuria Oliver
    FedMLTDI
ArXiv (abs)PDFHTML

Papers citing "Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values"

2 / 2 papers shown
Title
On the Fragility of Contribution Score Computation in Federated Learning
On the Fragility of Contribution Score Computation in Federated Learning
Balazs Pejo
Marcell Frank
Krisztian Varga
Peter Veliczky
G. Biczók
FedML
143
0
0
24 Sep 2025
The Disparate Benefits of Deep Ensembles
The Disparate Benefits of Deep Ensembles
Kajetan Schweighofer
Adrián Arnaiz-Rodríguez
Sepp Hochreiter
Nuria Oliver
FedML
215
3
0
17 Oct 2024
1