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2011.05614
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A Novel Privacy-Preserved Recommender System Framework based on Federated Learning
11 November 2020
Jiangcheng Qin
Baisong Liu
FedML
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Papers citing
"A Novel Privacy-Preserved Recommender System Framework based on Federated Learning"
7 / 7 papers shown
Title
Decaf: Data Distribution Decompose Attack against Federated Learning
Zhiyang Dai
Chunyi Zhou
Anmin Fu
31
2
0
24 May 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
30
7
0
07 Dec 2023
A Survey on Federated Recommendation Systems
Zehua Sun
Yonghui Xu
Yong-Jin Liu
Weiliang He
Lanju Kong
Fangzhao Wu
Y. Jiang
Li-zhen Cui
FedML
24
60
0
27 Dec 2022
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
Yacine Belal
A. Bellet
Sonia Ben Mokhtar
Vlad Nitu
19
10
0
09 Aug 2022
PPA: Preference Profiling Attack Against Federated Learning
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
25
21
0
10 Feb 2022
A Payload Optimization Method for Federated Recommender Systems
Farwa K. Khan
Adrian Flanagan
K. E. Tan
Z. Alamgir
Muhammad Ammad-ud-din
82
29
0
27 Jul 2021
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
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