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Client-wise data heterogeneity is one of the major issues that hinder effective training in federated learning (FL).
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Overcoming forgetting in federated learning on non-iid data
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Robust federated learning: The case of affine distribution shifts
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Tackling the objective inconsistency problem in heterogeneous federated optimization
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