Federated Recommendation
Federated Recommendation is a recommendation paradigm that enables collaborative model training across decentralized user devices or data silos while preserving privacy by avoiding direct data sharing, thereby distinguishing itself from centralized recommendation approaches through its distributed learning architecture and privacy-preserving data locality principle.
126
Publications
6K
Citations
520
Authors
211
Institutions
Publications per year
2017–2026
124
Variants
Federated Recommender Systems
126
FedRec: Federated Recommendation With Explicit Feedback
Guanyu Lin, Feng Liang, Weike Pan et al. · IEEE Intelligent Systems · 2020 · 207 citations
Federated Social Recommendation with Graph Neural Network
Zhiwei Liu, Liangwei Yang, Ziwei Fan et al. · ACM Transactions on Intelligent Systems and Technology · 2022 · 185 citations · Full text
Fast-adapting and privacy-preserving federated recommender system
Qinyong Wang, Hongzhi Yin, Tong Chen et al. · The VLDB Journal · 2021 · 134 citations · Full text
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211

The University of Queensland
Brisbane, Australia
10 h-index
28 publications
2.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
7 h-index
9 publications
424 citations
Shandong University
Jinan, China
7 h-index
17 publications
1.4K citations

Shenzhen University
Shenzhen, China
6 h-index
19 publications
1.3K citations

Sun Yat-sen University
Guangzhou, China
5 h-index
6 publications
242 citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
10 publications
645 citations

Griffith University
Brisbane, Australia
5 h-index
6 publications
334 citations

Nanjing University of Information Science and Technology
Nanjing, China
4 h-index
6 publications
250 citations
1–8 of 211
Repository · 11 publications · 370 citations
10
h-index
7 publications · 445 citations
7
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4 publications · 242 citations
4
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TKDE · 4 publications · 262 citations
4
h-index
5 publications · 140 citations
4
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