Home › Entities › academia › Federated learning improves site performance in multicenter deep learning without data sharing

Federated learning improves site performance in multicenter deep learning without data sharing

Research article (Journal of the American Medical Informatics Association, 2020) · cited 225× · AI/ML
academia openalex:W3128304793
Press Enter · cited answer in seconds

Federated learning improves site performance in multicenter deep learning without data sharing

Summary

Federated learning improves site performance in multicenter deep learning without data sharing is a scholarly article[1].

Key Facts

  • Federated learning improves site performance in multicenter deep learning without data sharing's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Federated learning improves site performance in multicenter deep learning without data sharing. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-learning-improves-site-performance-in-multicenter-deep-learning-without-data-sharing
MLA “Federated learning improves site performance in multicenter deep learning without data sharing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-learning-improves-site-performance-in-multicenter-deep-learning-without-data-sharing.
BibTeX @misc{4ortxyz_federated-learning-improves-site-performance-in-multicenter-deep-learning-without-data-sharing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated learning improves site performance in multicenter deep learning without data sharing}}, year = {2026}, url = {https://4ort.xyz/entity/federated-learning-improves-site-performance-in-multicenter-deep-learning-without-data-sharing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Federated learning improves site performance in multicenter deep learning without data sharing — https://4ort.xyz/entity/federated-learning-improves-site-performance-in-multicenter-deep-learning-without-data-sharing (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/federated-learning-improves-site-performance-in-multicenter-deep-learning-without-data-sharing · Last refreshed: