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On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks

Research article (ICC 2022 - IEEE International Conference on Communications, 2022) · cited 29× · AI/ML
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On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks

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On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks is a scholarly article[1].

Key Facts

  • On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks's instance of is recorded as scholarly article[2].

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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 the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks
MLA “On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks.
BibTeX @misc{4ortxyz_on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks — https://4ort.xyz/entity/on-the-tradeoff-between-energy-precision-and-accuracy-in-federated-quantized-neural-networks (retrieved 2026-05-24)

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