Bias in Federated Learning: Factors, Effects, Mitigations, and Open Issues

Authors

Publication Details

Journal
Ingénierie des systèmes d information
Published
2024-12-25
DOI
https://doi.org/10.18280/isi.290605
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.35
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article

Bias in Federated Learning: Factors, Effects, Mitigations, and Open Issues

Mourad Benmalek, Abdessamed Seddiki
1 citations
Ingénierie des systèmes d information
Privacy-Preserving Technologies in Data
0.35
article

Bias in Federated Learning: Factors, Effects, Mitigations, and Open Issues

Mourad Benmalek, Abdessamed Seddiki
article en
1 citations

Abstract

No abstract available for this paper.
Ingénierie des systèmes d informationVol. 29(6)
Climate action
Openalex Percentile: Top 30%
Privacy-Preserving Technologies in Data
0.35
DOIOpen Access PDFOpenAlex
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Bias in Federated Learning: Factors, Effects, Mitigations, and Open Issues — Mourad Benmalek, Abdessamed Seddiki · Ingénierie des systèmes d information (2024) | TGRS Research Map | TGRS