<ul data-eligibleForWebStory="true"><li>Federated recommendation systems aim to balance user privacy and recommendation accuracy by utilizing distributed collaborative learning.</li><li>Existing federated recommendation methods often overlook user relationships, limiting recommendation effectiveness.</li><li>UFGraphFR proposes a personalized federated recommendation framework that constructs a user graph based on clients' local text features.</li><li>Experimental results show UFGraphFR achieves comparable recommendation accuracy to centralized approaches while maintaining user privacy.</li></ul>

UFGraphFR: Graph Federation Recommendation System based on User Text description features

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