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Efficient federated multi-view learning

Research article (Pattern Recognition, 2022) · cited 40× · AI/ML
CreativeWork academia

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scholarly article[2]

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Authored by 4
Ivor Wai-Hung Tsang, Jiancheng Lv, Shudong Huang, Zenglin Xu
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Ivor Wai-Hung Tsang, Jiancheng Lv, Shudong Huang, Zenglin Xu
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Summary

Efficient federated multi-view learning is a scholarly article[1].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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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). Efficient federated multi-view learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-federated-multi-view-learning
MLA “Efficient federated multi-view learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-federated-multi-view-learning.
BibTeX @misc{4ortxyz_efficient-federated-multi-view-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient federated multi-view learning}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-federated-multi-view-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient federated multi-view learning — https://4ort.xyz/entity/efficient-federated-multi-view-learning (retrieved 2026-05-24)

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