OnPrivacyandPersonalizationin Cross-SiloFederatedLearning

Neural Information Processing Systems 

While theapplication ofdifferential privacy(DP) hasbeen well-studied incrossdevice federated learning (FL), there is a lack of work considering DP and its implications for cross-silo FL, a setting characterized by a limited number of clients each containing many data subjects.

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