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FedRN

Research article (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022) · cited 17× · AI/ML
CreativeWork academia

Facts

1 property
Instance of
scholarly article[2]

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🔗 Connections
Authored by 5
Hwanjun Song, Sangmook Kim, Se-Young Yun, Soohyuk Jang, Wonyoung Shin
← Author of 5
Hwanjun Song, Sangmook Kim, Se-Young Yun, Soohyuk Jang, Wonyoung Shin
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Summary

FedRN is a scholarly article[1].

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). FedRN. Retrieved May 24, 2026, from https://4ort.xyz/entity/fedrn
MLA “FedRN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fedrn.
BibTeX @misc{4ortxyz_fedrn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedRN}}, year = {2026}, url = {https://4ort.xyz/entity/fedrn}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FedRN — https://4ort.xyz/entity/fedrn (retrieved 2026-05-24)

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