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Found 3 papers, 2 papers with code
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
In this paper, we propose a novel Dynamic Affinity-based Personalized Federated Learning model (DA-PFL) to alleviate the class imbalanced problem during federated learning.
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
Specifically, to address the data heterogeneity across domains, we introduce an approach called hypergraph signal decoupling (HSD) to decouple the user features into domain-exclusive and domain-shared features.
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
Nonetheless, the sequence feature heterogeneity across different domains significantly impacts the overall performance of FL.
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