Lanyu Yao
Biographic Data
| ID | 10056585 |
|---|---|
| NAME | Lanyu Yao |
| GIVEN NAMES | Lanyu |
| FAMILY NAME | Yao |
| SIGNATURE | YAO L |
| AFFILIATIONS | Xidian University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Towards Adaptive Personalized Federated Meta-Learning Recommendation
Federated recommendation systems aim to provide high-quality recommendations while protecting user privacy. However, existing federated recommendation algorithms typically use a unified item embedding framework, where all clients share the same item representations. Such approaches often fail to capture users’ personalized perceptions of the same item and struggle to reflect subtle changes in user preferences, limiting the effectiveness of person…
No prominent works on this page.
Towards Adaptive Personalized Federated Meta-Learning Recommendation
Federated recommendation systems aim to provide high-quality recommendations while protecting user privacy. However, existing federated recommendation algorithms typically use a unified item embedding framework, where all clients share the same item representations. Such approaches often fail to capture users’ personalized perceptions of the same item and struggle to reflect subtle changes in user preferences, limiting the effectiveness of person…
Advanced Technologies in Various Fields (1 work) · Collaborative filtering (1 work) · Embedding (1 work) · Federated learning (1 work) · Limiting (1 work) · Personalization (1 work) · Privacy-Preserving Technologies in Data (1 work) · Recommender system (1 work) · Recommender Systems and Techniques (1 work) · Statistical model (1 work)