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Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs
We consider a distributed empirical risk minimization (ERM) optimization problem with communication efficiency and privacy requirements, motivated by the federated learning (FL) framework (Kairouz et al., 2019). Unique challenges to the traditional ERM problem in the context of FL i
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