Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Research article (IEEE Transactions on Medical Imaging, 2023) · cited 109× · AI/ML
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Do Gradient Inversion Attacks Make Federated Learning Unsafe?

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Do Gradient Inversion Attacks Make Federated Learning Unsafe? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Do Gradient Inversion Attacks Make Federated Learning Unsafe?. Retrieved May 24, 2026, from https://4ort.xyz/entity/do-gradient-inversion-attacks-make-federated-learning-unsafe
MLA “Do Gradient Inversion Attacks Make Federated Learning Unsafe?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/do-gradient-inversion-attacks-make-federated-learning-unsafe.
BibTeX @misc{4ortxyz_do-gradient-inversion-attacks-make-federated-learning-unsafe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Do Gradient Inversion Attacks Make Federated Learning Unsafe?}}, year = {2026}, url = {https://4ort.xyz/entity/do-gradient-inversion-attacks-make-federated-learning-unsafe}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Do Gradient Inversion Attacks Make Federated Learning Unsafe? — https://4ort.xyz/entity/do-gradient-inversion-attacks-make-federated-learning-unsafe (retrieved 2026-05-24)

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