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Rumor Detection with a novel graph neural network approach
In this paper, we propose a new detection model, that jointly learns both the representations of user correlation and information propagation to detect rumors on social media.
Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
However, most of these methods simply aggregate all of the received updates without considering their relative contributions, which can slow down convergence.
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