FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning
Summary
FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning is a scholarly article[1].
Key Facts
FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/feddqa-a-novel-regularization-based-deep-learning-method-for-data-quality-assessment-in-federated-learning
MLA“FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feddqa-a-novel-regularization-based-deep-learning-method-for-data-quality-assessment-in-federated-learning.
BibTeX@misc{4ortxyz_feddqa-a-novel-regularization-based-deep-learning-method-for-data-quality-assessment-in-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning}}, year = {2026}, url = {https://4ort.xyz/entity/feddqa-a-novel-regularization-based-deep-learning-method-for-data-quality-assessment-in-federated-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning — https://4ort.xyz/entity/feddqa-a-novel-regularization-based-deep-learning-method-for-data-quality-assessment-in-federated-learning (retrieved 2026-05-24)
