FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training

Research article (IEEE Transactions on Parallel and Distributed Systems, 2023) · cited 12× · AI/ML
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FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training

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FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training is a scholarly article[1].

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  • FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training. Retrieved May 24, 2026, from https://4ort.xyz/entity/fast-enhancing-federated-learning-through-adaptive-data-sampling-and-local-training
MLA “FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fast-enhancing-federated-learning-through-adaptive-data-sampling-and-local-training.
BibTeX @misc{4ortxyz_fast-enhancing-federated-learning-through-adaptive-data-sampling-and-local-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training}}, year = {2026}, url = {https://4ort.xyz/entity/fast-enhancing-federated-learning-through-adaptive-data-sampling-and-local-training}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training — https://4ort.xyz/entity/fast-enhancing-federated-learning-through-adaptive-data-sampling-and-local-training (retrieved 2026-05-24)

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