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Differentially Private Federated Learning with Shuffling and Client Self-Sampling

Research article (2021 IEEE International Symposium on Information Theory (ISIT), 2021) · cited 11× · AI/ML
academia openalex:W3197292945
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Differentially Private Federated Learning with Shuffling and Client Self-Sampling

Summary

Differentially Private Federated Learning with Shuffling and Client Self-Sampling is a scholarly article[1].

Key Facts

  • Differentially Private Federated Learning with Shuffling and Client Self-Sampling's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Differentially Private Federated Learning with Shuffling and Client Self-Sampling. Retrieved May 24, 2026, from https://4ort.xyz/entity/differentially-private-federated-learning-with-shuffling-and-client-self-sampling
MLA “Differentially Private Federated Learning with Shuffling and Client Self-Sampling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/differentially-private-federated-learning-with-shuffling-and-client-self-sampling.
BibTeX @misc{4ortxyz_differentially-private-federated-learning-with-shuffling-and-client-self-sampling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Differentially Private Federated Learning with Shuffling and Client Self-Sampling}}, year = {2026}, url = {https://4ort.xyz/entity/differentially-private-federated-learning-with-shuffling-and-client-self-sampling}, note = {Accessed: 2026-05-24}}
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