System and method for privacy-preserving distributed training of machine learning models on distributed datasets

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We consider the problem of learning a target function corresponding to a deep, extensive-width, non-linear neural network with random Gaussian weights. We consider the asymptotic limit where the number of samples, the input dimension and the network width ...

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A computer-implemented method and a distributed computer system (100) for privacy- preserving distributed training of a global neural network model on distributed datasets (DS1 to DSn). The system has a plurality of data providers (DP1 to DPn) being commun ...

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System and method for privacy-preserving distributed training of machine learning models on distributed datasets

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System and method for privacy-preserving distributed training of neural network models on distributed datasets

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