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Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity

Research article (Scientific Reports, 2025) · cited 54× · AI/ML
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Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity

Summary

Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity is a scholarly article[1].

Key Facts

  • Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-learning-with-differential-privacy-for-breast-cancer-diagnosis-enabling-secure-data-sharing-and-model-integrit
MLA “Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-learning-with-differential-privacy-for-breast-cancer-diagnosis-enabling-secure-data-sharing-and-model-integrit.
BibTeX @misc{4ortxyz_federated-learning-with-differential-privacy-for-breast-cancer-diagnosis-enabling-secure-data-sharing-and-model-integrit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity}}, year = {2026}, url = {https://4ort.xyz/entity/federated-learning-with-differential-privacy-for-breast-cancer-diagnosis-enabling-secure-data-sharing-and-model-integrit}, note = {Accessed: 2026-05-24}}
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