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Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift

Research article (2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA), 2024) · cited 15× · AI/ML
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Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift

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Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-learning-drift-detection-an-empirical-study-on-the-impact-of-concept-and-data-drift
MLA “Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-learning-drift-detection-an-empirical-study-on-the-impact-of-concept-and-data-drift.
BibTeX @misc{4ortxyz_federated-learning-drift-detection-an-empirical-study-on-the-impact-of-concept-and-data-drift_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift}}, year = {2026}, url = {https://4ort.xyz/entity/federated-learning-drift-detection-an-empirical-study-on-the-impact-of-concept-and-data-drift}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift — https://4ort.xyz/entity/federated-learning-drift-detection-an-empirical-study-on-the-impact-of-concept-and-data-drift (retrieved 2026-05-24)

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