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<strong>Federated Learning enables data scientists to create AI without compromising users confidentiality. This method is set to disrupt the centralized AI paradigm, in which better algorithm always comes at the cost of collecting more and more personal data. Thus, Federated Learning allows powerful network effects in industries where data cannot be transferred to third parties due to confidentiality reasons (health, bank, etc.)</strong>