Frank-Wolfe Method with Proximal Regularization for Constrained Federated Learning with Non-iid Data
Abstract: Federated constrained learning allows us to learn a global model with some specific structure to enhance performance. Most existing federated learning techniques assume data is homogeneously ...
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