The heterogeneous federated recommendation framework based on adversarial training
Abstract In federated recommendation systems, different clients can have different data resources and computational capabilities, necessitating the design of personalized models for different clients for better recommendation accuracy. The existing heterogeneous federated recommendation framework, a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-02037-x |
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