In this paper, we propose FedMRUR by adopting the manifold model fusion scheme and a new global optimizer to alleviatethenegativeimpacts.

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Moreover, the model tends to generalize well to unseen tasks that did not appear in the training data.

Pruning methods for neural networks [LeCun et al., 1989] replace dense weight matrices by sparse