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: Stroke remains a leading cause of mortality and disability globally, and prompt identification is necessary to provide effective treatment. This paper explores new technologies, including ...
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