FedNN: Federated learning on concept drift data using weight and adaptive group normalizations

Research article (Pattern Recognition, 2023) · cited 39× · AI/ML
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FedNN: Federated learning on concept drift data using weight and adaptive group normalizations

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FedNN: Federated learning on concept drift data using weight and adaptive group normalizations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Retrieved May 24, 2026, from https://4ort.xyz/entity/fednn-federated-learning-on-concept-drift-data-using-weight-and-adaptive-group-normalizations
MLA “FedNN: Federated learning on concept drift data using weight and adaptive group normalizations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fednn-federated-learning-on-concept-drift-data-using-weight-and-adaptive-group-normalizations.
BibTeX @misc{4ortxyz_fednn-federated-learning-on-concept-drift-data-using-weight-and-adaptive-group-normalizations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedNN: Federated learning on concept drift data using weight and adaptive group normalizations}}, year = {2026}, url = {https://4ort.xyz/entity/fednn-federated-learning-on-concept-drift-data-using-weight-and-adaptive-group-normalizations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FedNN: Federated learning on concept drift data using weight and adaptive group normalizations — https://4ort.xyz/entity/fednn-federated-learning-on-concept-drift-data-using-weight-and-adaptive-group-normalizations (retrieved 2026-05-24)

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