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Federated Deep Recurrent <i>Q</i>-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT
Research article (IEEE Internet of Things Journal, 2024) · cited 20× · AI/ML
Federated Deep Recurrent Q-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT
Summary
Federated Deep Recurrent Q-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT is a scholarly article[1].
Key Facts
Federated Deep Recurrent Q-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT's instance of is recorded as scholarly article[2].
References
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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). Federated Deep Recurrent <i>Q</i>-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-deep-recurrent-i-q-i-learning-for-task-partitioning-and-resource-allocation-in-satellite-mobile-edge-computing
MLA“Federated Deep Recurrent <i>Q</i>-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-deep-recurrent-i-q-i-learning-for-task-partitioning-and-resource-allocation-in-satellite-mobile-edge-computing.
BibTeX@misc{4ortxyz_federated-deep-recurrent-i-q-i-learning-for-task-partitioning-and-resource-allocation-in-satellite-mobile-edge-computing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated Deep Recurrent <i>Q</i>-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT}}, year = {2026}, url = {https://4ort.xyz/entity/federated-deep-recurrent-i-q-i-learning-for-task-partitioning-and-resource-allocation-in-satellite-mobile-edge-computing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Federated Deep Recurrent <i>Q</i>-Learning for Task Partitioning and Resource Allocation in Satellite Mobile-Edge-Computing-Assisted Industrial IoT — https://4ort.xyz/entity/federated-deep-recurrent-i-q-i-learning-for-task-partitioning-and-resource-allocation-in-satellite-mobile-edge-computing (retrieved 2026-05-24)
