FedShare
product→ stable
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)
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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Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W11 | 0.60 | 1 |