R&D "Increasing convergence rate and improving data protection in vertical federated learning"
Customer PJSC Sberbank
The main goal of the project is to develop new practical modifications of vertical federated learning algorithms that the Employer already has. New approaches to the task of vertical federated learning will be developed, different from those that are present in the literature. The final modifications and algorithms will be extended from classical machine learning models (which the Employer is currently using) to more complex ones, for instance, neural networks.
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