Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems

Research article (2020 IEEE International Conference on Communications Workshops (ICC Workshops), 2020) · cited 34× · AI/ML
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Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems

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Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-optimization-of-data-sampling-and-user-selection-for-federated-learning-in-the-mobile-edge-computing-systems
MLA “Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-optimization-of-data-sampling-and-user-selection-for-federated-learning-in-the-mobile-edge-computing-systems.
BibTeX @misc{4ortxyz_joint-optimization-of-data-sampling-and-user-selection-for-federated-learning-in-the-mobile-edge-computing-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems}}, year = {2026}, url = {https://4ort.xyz/entity/joint-optimization-of-data-sampling-and-user-selection-for-federated-learning-in-the-mobile-edge-computing-systems}, note = {Accessed: 2026-05-24}}
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