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Quantum Federated Learning: Remarks and Challenges

Research article (2022 IEEE 9th International Conference on Cyber Security and Cloud Computing (CSCloud)/2022 IEEE 8th International Conference on Edge Computing and Scalable Cloud (EdgeCom), 2022) · cited 30× · AI/ML
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Quantum Federated Learning: Remarks and Challenges

Summary

Quantum Federated Learning: Remarks and Challenges is a scholarly article[1].

Key Facts

  • Quantum Federated Learning: Remarks and Challenges'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.

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APA 4ort.xyz Knowledge Graph. (2026). Quantum Federated Learning: Remarks and Challenges. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantum-federated-learning-remarks-and-challenges
MLA “Quantum Federated Learning: Remarks and Challenges.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantum-federated-learning-remarks-and-challenges.
BibTeX @misc{4ortxyz_quantum-federated-learning-remarks-and-challenges_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantum Federated Learning: Remarks and Challenges}}, year = {2026}, url = {https://4ort.xyz/entity/quantum-federated-learning-remarks-and-challenges}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantum Federated Learning: Remarks and Challenges — https://4ort.xyz/entity/quantum-federated-learning-remarks-and-challenges (retrieved 2026-05-24)

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