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: To solve the problems of visual positioning algorithms in indoor dark light scenes, such as low quality of captured images, the poor matching effect of image features, inaccurate positioning ...
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