“DRL + FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing
Summary
“DRL + FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing is a scholarly article[1].
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“DRL + FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). “DRL + FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/drl-fl-an-intelligent-resource-allocation-model-based-on-deep-reinforcement-learning-for-mobile-edge-computing
MLA““DRL + FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/drl-fl-an-intelligent-resource-allocation-model-based-on-deep-reinforcement-learning-for-mobile-edge-computing.
BibTeX@misc{4ortxyz_drl-fl-an-intelligent-resource-allocation-model-based-on-deep-reinforcement-learning-for-mobile-edge-computing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{“DRL + FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing}}, year = {2026}, url = {https://4ort.xyz/entity/drl-fl-an-intelligent-resource-allocation-model-based-on-deep-reinforcement-learning-for-mobile-edge-computing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): “DRL + FL”: An intelligent resource allocation model based on deep reinforcement learning for Mobile Edge Computing — https://4ort.xyz/entity/drl-fl-an-intelligent-resource-allocation-model-based-on-deep-reinforcement-learning-for-mobile-edge-computing (retrieved 2026-05-24)
