PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing

Research article (International Journal of Intelligent Systems, 2020) · cited 42× · AI/ML
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PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing

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PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing. Retrieved May 24, 2026, from https://4ort.xyz/entity/privatedl-privacypreserving-collaborative-deep-learning-against-leakage-from-gradient-sharing
MLA “PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/privatedl-privacypreserving-collaborative-deep-learning-against-leakage-from-gradient-sharing.
BibTeX @misc{4ortxyz_privatedl-privacypreserving-collaborative-deep-learning-against-leakage-from-gradient-sharing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing}}, year = {2026}, url = {https://4ort.xyz/entity/privatedl-privacypreserving-collaborative-deep-learning-against-leakage-from-gradient-sharing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing — https://4ort.xyz/entity/privatedl-privacypreserving-collaborative-deep-learning-against-leakage-from-gradient-sharing (retrieved 2026-05-24)

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