Partially-federated learning: A new approach to achieving privacy and effectiveness

Research article (Information Sciences, 2022) · cited 21× · AI/ML
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Partially-federated learning: A new approach to achieving privacy and effectiveness

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Partially-federated learning: A new approach to achieving privacy and effectiveness is a scholarly article[1].

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  • Partially-federated learning: A new approach to achieving privacy and effectiveness's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Partially-federated learning: A new approach to achieving privacy and effectiveness. Retrieved May 24, 2026, from https://4ort.xyz/entity/partially-federated-learning-a-new-approach-to-achieving-privacy-and-effectiveness
MLA “Partially-federated learning: A new approach to achieving privacy and effectiveness.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/partially-federated-learning-a-new-approach-to-achieving-privacy-and-effectiveness.
BibTeX @misc{4ortxyz_partially-federated-learning-a-new-approach-to-achieving-privacy-and-effectiveness_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Partially-federated learning: A new approach to achieving privacy and effectiveness}}, year = {2026}, url = {https://4ort.xyz/entity/partially-federated-learning-a-new-approach-to-achieving-privacy-and-effectiveness}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Partially-federated learning: A new approach to achieving privacy and effectiveness — https://4ort.xyz/entity/partially-federated-learning-a-new-approach-to-achieving-privacy-and-effectiveness (retrieved 2026-05-24)

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