Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data

Research article (Radiographics, 2023) · cited 34× · AI/ML
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Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data

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Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/collaborative-privacy-preserving-approaches-for-distributed-deep-learning-using-multi-institutional-data
MLA “Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/collaborative-privacy-preserving-approaches-for-distributed-deep-learning-using-multi-institutional-data.
BibTeX @misc{4ortxyz_collaborative-privacy-preserving-approaches-for-distributed-deep-learning-using-multi-institutional-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data}}, year = {2026}, url = {https://4ort.xyz/entity/collaborative-privacy-preserving-approaches-for-distributed-deep-learning-using-multi-institutional-data}, note = {Accessed: 2026-05-24}}
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