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Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Research article (IEEE Transactions on Communications, 2024) · cited 24× · AI/ML
Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Summary
Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach is a scholarly article[1].
Key Facts
Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach'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). Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/toward-dynamic-resource-allocation-and-client-scheduling-in-hierarchical-federated-learning-a-two-phase-deep-reinforceme
MLA“Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/toward-dynamic-resource-allocation-and-client-scheduling-in-hierarchical-federated-learning-a-two-phase-deep-reinforceme.
BibTeX@misc{4ortxyz_toward-dynamic-resource-allocation-and-client-scheduling-in-hierarchical-federated-learning-a-two-phase-deep-reinforceme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/toward-dynamic-resource-allocation-and-client-scheduling-in-hierarchical-federated-learning-a-two-phase-deep-reinforceme}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Toward Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach — https://4ort.xyz/entity/toward-dynamic-resource-allocation-and-client-scheduling-in-hierarchical-federated-learning-a-two-phase-deep-reinforceme (retrieved 2026-05-24)