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Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection

Research article (Information Systems Frontiers, 2022) · cited 58× · AI/ML
academia openalex:W4285728720
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Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection

Summary

Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection is a scholarly article[1].

Key Facts

  • Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection's instance of is recorded as scholarly article[2].

Related Entities

Jamal Bentahar

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/trust-augmented-deep-reinforcement-learning-for-federated-learning-client-selection
MLA “Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/trust-augmented-deep-reinforcement-learning-for-federated-learning-client-selection.
BibTeX @misc{4ortxyz_trust-augmented-deep-reinforcement-learning-for-federated-learning-client-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection}}, year = {2026}, url = {https://4ort.xyz/entity/trust-augmented-deep-reinforcement-learning-for-federated-learning-client-selection}, note = {Accessed: 2026-05-24}}
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