Data Augmentation for Improving Convergence Speed in Federated Sequential Recommendation System
A federated sequential recommendation system enables personalized temporal recommendations while safeguarding user privacy. However, the statistical heterogeneity of independent user records often necessitates extensive communication to achieve high-performing models. To address this challenge, prio...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11086593/ |
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