Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge

Research article (IEEE Transactions on Artificial Intelligence, 2024) · cited 33× · AI/ML
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Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge

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Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge. Retrieved May 24, 2026, from https://4ort.xyz/entity/complexity-driven-model-compression-for-resource-constrained-deep-learning-on-edge
MLA “Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/complexity-driven-model-compression-for-resource-constrained-deep-learning-on-edge.
BibTeX @misc{4ortxyz_complexity-driven-model-compression-for-resource-constrained-deep-learning-on-edge_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge}}, year = {2026}, url = {https://4ort.xyz/entity/complexity-driven-model-compression-for-resource-constrained-deep-learning-on-edge}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge — https://4ort.xyz/entity/complexity-driven-model-compression-for-resource-constrained-deep-learning-on-edge (retrieved 2026-05-24)

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