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Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT

Research article (IEEE Transactions on Network Science and Engineering, 2024) · cited 26× · AI/ML
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Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT

Summary

Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT is a scholarly article[1].

Key Facts

  • Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT's instance of is recorded as scholarly article[2].

References

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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). Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT. Retrieved May 24, 2026, from https://4ort.xyz/entity/resources-efficient-adaptive-federated-learning-for-digital-twin-enabled-iiot
MLA “Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resources-efficient-adaptive-federated-learning-for-digital-twin-enabled-iiot.
BibTeX @misc{4ortxyz_resources-efficient-adaptive-federated-learning-for-digital-twin-enabled-iiot_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT}}, year = {2026}, url = {https://4ort.xyz/entity/resources-efficient-adaptive-federated-learning-for-digital-twin-enabled-iiot}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Resources-Efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT — https://4ort.xyz/entity/resources-efficient-adaptive-federated-learning-for-digital-twin-enabled-iiot (retrieved 2026-05-24)

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