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EDCompress: Energy-Aware Model Compression for Dataflows

Research article (IEEE Transactions on Neural Networks and Learning Systems, 2022) · cited 15× · AI/ML
academia openalex:W4280617669
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EDCompress: Energy-Aware Model Compression for Dataflows

Summary

EDCompress: Energy-Aware Model Compression for Dataflows is a scholarly article[1].

Key Facts

  • EDCompress: Energy-Aware Model Compression for Dataflows'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). EDCompress: Energy-Aware Model Compression for Dataflows. Retrieved May 24, 2026, from https://4ort.xyz/entity/edcompress-energy-aware-model-compression-for-dataflows
MLA “EDCompress: Energy-Aware Model Compression for Dataflows.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/edcompress-energy-aware-model-compression-for-dataflows.
BibTeX @misc{4ortxyz_edcompress-energy-aware-model-compression-for-dataflows_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EDCompress: Energy-Aware Model Compression for Dataflows}}, year = {2026}, url = {https://4ort.xyz/entity/edcompress-energy-aware-model-compression-for-dataflows}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EDCompress: Energy-Aware Model Compression for Dataflows — https://4ort.xyz/entity/edcompress-energy-aware-model-compression-for-dataflows (retrieved 2026-05-24)

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