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A Novel Privacy-Preserved Recommender System Framework based on
  Federated Learning

A Novel Privacy-Preserved Recommender System Framework based on Federated Learning

11 November 2020
Jiangcheng Qin
Baisong Liu
    FedML
ArXiv (abs)PDFHTML

Papers citing "A Novel Privacy-Preserved Recommender System Framework based on Federated Learning"

6 / 6 papers shown
Decaf: Data Distribution Decompose Attack against Federated Learning
Decaf: Data Distribution Decompose Attack against Federated Learning
Zhiyang Dai
Chunyi Zhou
Anmin Fu
265
5
0
24 May 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
261
14
0
07 Dec 2023
A Survey on Federated Recommendation Systems
A Survey on Federated Recommendation SystemsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zehua Sun
Yonghui Xu
Wenshu Fan
Weiliang He
Lanju Kong
Fangzhao Wu
Yiheng Jiang
Li-zhen Cui
FedML
342
114
0
27 Dec 2022
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
PEPPER: Empowering User-Centric Recommender Systems over Gossip LearningProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2022
Yacine Belal
A. Bellet
Sonia Ben Mokhtar
Vlad Nitu
213
17
0
09 Aug 2022
PPA: Preference Profiling Attack Against Federated Learning
PPA: Preference Profiling Attack Against Federated LearningNetwork and Distributed System Security Symposium (NDSS), 2022
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
242
31
0
10 Feb 2022
A Payload Optimization Method for Federated Recommender Systems
A Payload Optimization Method for Federated Recommender SystemsACM Conference on Recommender Systems (RecSys), 2021
Farwa K. Khan
Adrian Flanagan
K. E. Tan
Z. Alamgir
Muhammad Ammad-ud-din
293
37
0
27 Jul 2021
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