Abstract: Training images with data transformations, e.g., crops, shifts, rotations and color distortions, have been suggested as contrastive examples to evaluate the robustness of deep neural ...
Abstract: Federated Learning(FL) is a distributed machine learning paradigm that exchanges data among multiple parties without directly sharing the original data. However, FL faces the inherent issue ...
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