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Found 3 papers, 1 papers with code
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset
It seems as though progressively more people are in the race to upload content, data, and information online; and hospitals haven't neglected this trend either.
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data
Since the centralized server does not need to access the training data and trains the deep neural network with parameters received from the privacy-preserving layer, privacy of original data is guaranteed.
Spatio-Temporal Split Learning
This paper proposes a novel split learning framework with multiple end-systems in order to realize privacypreserving deep neural network computation.
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