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FedCL: Federated Contrastive Learning for Privacy-Preserving
  Recommendation

FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation

21 April 2022
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
Xing Xie
    FedML
ArXivPDFHTML

Papers citing "FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation"

4 / 4 papers shown
Title
Federated Recommendation via Hybrid Retrieval Augmented Generation
Federated Recommendation via Hybrid Retrieval Augmented Generation
Huimin Zeng
Zhenrui Yue
Qian Jiang
Dong Wang
FedML
52
12
0
07 Mar 2024
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain
  Recommendation
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
Li Wang
Lei Sang
Quangui Zhang
Qiang Wu
Min Xu
27
3
0
06 Mar 2024
Federated Training of Dual Encoding Models on Small Non-IID Client
  Datasets
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Raviteja Vemulapalli
Warren Morningstar
Philip Mansfield
Hubert Eichner
K. Singhal
Arash Afkanpour
Bradley Green
FedML
13
2
0
30 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
17
46
0
21 Sep 2022
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