Abstract: Highly degraded images greatly challenge existing algorithms to detect objects of interest in adverse scenarios, such as rain, fog, and underwater. Recently, researchers develop ...
Abstract: As the complexity of deep neural networks escalates, traditional federated learning (FL) frameworks increasingly struggle since the training overhead of the full model is costly for resource ...
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