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Found 2 papers, 1 papers with code
Scalable federated machine learning with FEDn
Federated machine learning has great promise to overcome the input privacy challenge in machine learning.
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
The proposed approach is demonstrated on two benchmark problem and one challenging inference problem learning parameters in a high-dimensional stochastic genetic oscillator.
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