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20242026
most citedTransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models

2 citations · 3 across the 9 of their papers we have counts for

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cs.IR2026

From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation

Jundong Chen, Honglei Zhang, Xiangmou Qu +3

Cross-market recommendation (CMR) aims to enhance recommendation performance across multiple markets. Due to its inherent characteristics, i.e., data isolation, non-overlapping use…

cs.IR2026

FedUTR: Federated Recommendation with Augmented Universal Textual Representation for Sparse Interaction Scenarios

Kang Fu, Honglei Zhang, Zikai Zhang +5

Federated recommendations (FRs) have emerged as an on-device privacy-preserving paradigm, attracting considerable attention driven by rising demands for data security. Existing FRs…