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On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme

Research article (IEEE Internet of Things Journal, 2023) · cited 34× · AI/ML
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On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme

Summary

On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme is a scholarly article[1].

Key Facts

  • On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme's instance of is recorded as scholarly article[2].

Related Entities

Jamal Bentahar

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-demand-fl-a-dynamic-and-efficient-multicriteria-federated-learning-client-deployment-scheme
MLA “On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-demand-fl-a-dynamic-and-efficient-multicriteria-federated-learning-client-deployment-scheme.
BibTeX @misc{4ortxyz_on-demand-fl-a-dynamic-and-efficient-multicriteria-federated-learning-client-deployment-scheme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme}}, year = {2026}, url = {https://4ort.xyz/entity/on-demand-fl-a-dynamic-and-efficient-multicriteria-federated-learning-client-deployment-scheme}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme — https://4ort.xyz/entity/on-demand-fl-a-dynamic-and-efficient-multicriteria-federated-learning-client-deployment-scheme (retrieved 2026-05-24)

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