Abstract: Most deep-learning models for vision tasks rely on RGB images as their primary input layer, assuming the model inherently discovers an optimal representation. In this work, we challenge this ...
School of Materials Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Key Laboratory of Advanced Ceramics and Machining Technology (Ministry of Education), Tianjin ...
Abstract: In this article, we propose a method, generative image reconstruction from gradients (GIRG), for recovering training images from gradients in a federated learning (FL) setting, where privacy ...
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