Home ›
Entities
› academia
› Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms
Research article (IEEE Access, 2021) · cited 38× · AI/ML
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms
Summary
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms is a scholarly article[1].
Key Facts
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-in-the-fog-lifo-deep-learning-meets-fog-computing-for-the-minimum-energy-distributed-early-exit-of-inference-in
MLA“Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-in-the-fog-lifo-deep-learning-meets-fog-computing-for-the-minimum-energy-distributed-early-exit-of-inference-in.
BibTeX@misc{4ortxyz_learning-in-the-fog-lifo-deep-learning-meets-fog-computing-for-the-minimum-energy-distributed-early-exit-of-inference-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms}}, year = {2026}, url = {https://4ort.xyz/entity/learning-in-the-fog-lifo-deep-learning-meets-fog-computing-for-the-minimum-energy-distributed-early-exit-of-inference-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms — https://4ort.xyz/entity/learning-in-the-fog-lifo-deep-learning-meets-fog-computing-for-the-minimum-energy-distributed-early-exit-of-inference-in (retrieved 2026-05-24)
