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ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals

Research article (IEEE Internet of Things Journal, 2023) · cited 14× · AI/ML
academia openalex:W4387587838
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ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals

Summary

ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals is a scholarly article[1].

Key Facts

  • ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals'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). ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals. Retrieved May 24, 2026, from https://4ort.xyz/entity/resfed-communication-efficient-federated-learning-with-deep-compressed-residuals
MLA “ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resfed-communication-efficient-federated-learning-with-deep-compressed-residuals.
BibTeX @misc{4ortxyz_resfed-communication-efficient-federated-learning-with-deep-compressed-residuals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals}}, year = {2026}, url = {https://4ort.xyz/entity/resfed-communication-efficient-federated-learning-with-deep-compressed-residuals}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals — https://4ort.xyz/entity/resfed-communication-efficient-federated-learning-with-deep-compressed-residuals (retrieved 2026-05-24)

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