Abstract: Federated learning enables decentralized model training across numerous devices without data centralization, leveraging model updates to enhance privacy and reduce communication overhead.
Abstract: Providing high-quality predictions is no longer the sole goal for neural networks. As we live in an increasingly interconnected world, these models need to match the constraints of ...
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