Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
Abstract: The growing integration of distributed energy resources and increased interconnectivity in cyber-physical power systems (CPPSs) have heightened their complexity. This complexity has made ...
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