20 citations · 28 across the 4 of their papers we have counts for
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cs.LG2024
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
Xu Yang, Jiyuan Feng, Songyue Guo +4
Personalized federated learning becomes a hot research topic that can learn a personalized learning model for each client. Existing personalized federated learning models prefer to…
cs.LG2024★ 2 cited
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
Hongyu Zhang, Dongyi Zheng, Lin Zhong +4
In recent years, Cross-Domain Recommendation (CDR) has drawn significant attention, which utilizes user data from multiple domains to enhance the recommendation performance. Howeve…
cs.LG2023★ 20 cited
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
Hongyu Zhang, Dongyi Zheng, Xu Yang +2
Cross-domain Sequential Recommendation (CSR) which leverages user sequence data from multiple domains has received extensive attention in recent years. However, the existing CSR me…