Generalized Federated Learning via Gradient Norm-Aware Minimization and Control Variables
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DOI: 10.3390/math12172644
Abstract: Federated Learning (FL) is a promising distributed machine learning framework that emphasizes privacy protection. However, inconsistencies between local optimization objectives and the global objective, commonly referred to as client drift, primarily arise due to non-independently… read more here.
Keywords: norm aware; aware minimization; client; gradient norm ... See more keywords