Zhaopeng Peng — accepted AI-conference papers

2024

FedPFT: Federated Proxy Fine-Tuning of Foundation Models

Zhaopeng Peng, Xiaoliang Fan, Yufan Chen, Zheng Wang, Shirui Pan, Chenglu Wen +2

IJCAI 2024poster

Adapting Foundation Models (FMs) for down- stream tasks through Federated Learning (FL) emerges a promising strategy for protecting data privacy and valuable FMs. Existing methods fine- tune FM by allocating sub-FM to clients in FL, however, leading to suboptimal performance due to insufficient tuni…

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2024

Federated Graph Learning for Cross-Domain Recommendation

Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan +3

NeurIPS 2024poster

Cross-domain recommendation (CDR) offers a promising solution to the data sparsity problem by enabling knowledge transfer across source and target domains. However, many recent CDR models overlook crucial issues such as privacy as well as the risk of negative transfer (which negatively impact model…

Cited by 2 Source ↗PDF ↗Scholar ↗