8 citations · 12 across the 12 of their papers we have counts for
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cs.LG2025
A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation
Zhiwei Li, Guodong Long, Chunxu Zhang +3
Integrating Foundation Models (FMs) into recommendation systems is an emerging and promising research direction. However, centralized paradigms face growing pressure from privacy c…
cs.LG2023★ 8 cited
Federated Recommendation with Additive Personalization
Zhiwei Li, Guodong Long, Tianyi Zhou
Building recommendation systems via federated learning (FL) is a new emerging challenge for advancing next-generation Internet service and privacy protection. Existing approaches t…
cs.LG2022
Incomplete Multi-View Weak-Label Learning with Noisy Features and Imbalanced Labels
Zhiwei Li, Zijian Yang, Lu Sun +2
A variety of modern applications exhibit multi-view multi-label learning, where each sample has multi-view features, and multiple labels are correlated via common views. Current me…