Approximate Computing for Federated Learning

We explore the usage of approximate computing to enhance the security and privacy of Federated Learning against training data reconstruction attacks.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-11
DOI
https://doi.org/10.5281/zenodo.17901252
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
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article

Approximate Computing for Federated Learning

Zenodo (CERN European Organization for Nuclear Research)
Privacy-Preserving Technologies in Data
article

Approximate Computing for Federated Learning

article en

Abstract

We explore the usage of approximate computing to enhance the security and privacy of Federated Learning against training data reconstruction attacks.

Zenodo (CERN European Organization for Nuclear Research)
Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR)
Openalex Percentile: Top 19%
Privacy-Preserving Technologies in Data
DOIOpen Access PDFOpenAlex
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Approximate Computing for Federated Learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS