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FedShare

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Federated Learning and Unlearning for Recommendation with Personalized Data Sharing

FedShare, developed by researchers, is a federated learning framework for recommender systems that enhances privacy without sacrificing model performance.

1Total Mentions
+0.60Sentiment (Very Positive)
0.0%Velocity (7d)
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First seen: Mar 13, 2026Last active: Mar 13, 2026

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  1. Research MilestoneMar 13, 2026

    Researchers propose FedShare, a federated learning framework for recommender systems with personalized data sharing and unlearning

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