Abstract: Federated learning, as a privacy preserving distributed machine learning paradigm, enables geographically dispersed clients to collaboratively train a shared model without exchanging raw ...
Traffic loss isn’t the full story as answer engines create higher-value demand, forcing CMOs to rethink SEO fundamentals, ...
Abstract: Graph Neural Networks (GNNs) have achieved remarkable success across various fields over graph data. Nevertheless, recent research has found that GNNs are vulnerable to adversarial attacks, ...
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