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Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data
This demonstrates the suitability of FL for handling the standardization task.
Distributed learning optimisation of Cox models can leak patient data: Risks and solutions
Due to the data's sensitive nature, there is an interest in creating modelling methods where the data are kept in each local centre to preserve their privacy, but yet the model can be trained on and learn from data across multiple centres.
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning
Compared with the direct combination of data imputation and causal discovery methods, our method performs generally better and can even obtain a performance gain as much as 43. 2%.
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