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Federated Collaborative Filtering for Privacy-Preserving Personalized
  Recommendation System

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

29 January 2019
Muhammad Ammad-ud-din
E. Ivannikova
Suleiman A. Khan
Were Oyomno
Qiang Fu
K. E. Tan
Adrian Flanagan
    FedML
ArXivPDFHTML

Papers citing "Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System"

38 / 38 papers shown
Title
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data
Wentai Wu
Ligang He
Saiqin Long
Ahmed M. Abdelmoniem
Yingliang Wu
Rui Mao
60
0
0
05 Mar 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
J. Zhang
Huan Li
Dazhong Rong
Yan Zhao
Ke Chen
Lidan Shou
AAML
80
4
0
18 Feb 2025
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
Hung Vinh Tran
Tong Chen
Quoc Viet Hung Nguyen
Zi-Rui Huang
Lizhen Cui
Hongzhi Yin
45
1
0
25 Jun 2024
Poisoning Decentralized Collaborative Recommender System and Its
  Countermeasures
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
Ruiqi Zheng
Liang Qu
Tong Chen
Kai Zheng
Yuhui Shi
Hongzhi Yin
29
7
0
01 Apr 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
40
3
0
06 Mar 2024
A Survey on Vulnerability of Federated Learning: A Learning Algorithm
  Perspective
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
47
19
0
27 Nov 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
Dzung Pham
Shreyas Kulkarni
Amir Houmansadr
33
0
0
29 Oct 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Guowei Wu
Weike Pan
Zhong Ming
FedML
46
2
0
25 Jul 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving
  Cross-Domain Recommendation
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
Xinting Liao
Weiming Liu
Xiaolin Zheng
Binhui Yao
Chaochao Chen
36
13
0
11 May 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation
Semi-decentralized Federated Ego Graph Learning for Recommendation
Liang Qu
Ningzhi Tang
Ruiqi Zheng
Quoc Viet Hung Nguyen
Zi Huang
Yuhui Shi
Hongzhi Yin
FedML
77
51
0
10 Feb 2023
Federated Privacy-preserving Collaborative Filtering for On-Device Next
  App Prediction
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction
A. Sayapin
Gleb Balitskiy
Daniel Bershatsky
Aleksandr Katrutsa
Evgeny Frolov
Alexey Frolov
Ivan Oseledets
Vitaliy N. Kharin
FedML
26
1
0
05 Feb 2023
A Survey on Federated Recommendation Systems
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
26
60
0
27 Dec 2022
Decentralized Matrix Factorization with Heterogeneous Differential
  Privacy
Decentralized Matrix Factorization with Heterogeneous Differential Privacy
Wentao Hu
Hui Fang
19
0
0
01 Dec 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with
  Pre-trained Transformers
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Jinyu Chen
Wenchao Xu
Song Guo
Junxiao Wang
Jie Zhang
Yining Qi
FedML
28
32
0
15 Nov 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent
  Embeddings
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Junyi Li
Heng-Chiao Huang
FedML
24
6
0
25 Oct 2022
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via
  Differential Privacy
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
Yeqing Qiu
Chenyu Huang
Jianzong Wang
Zhangcheng Huang
Jing Xiao
FedML
22
12
0
07 Jun 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System
Cali3F: Calibrated Fast Fair Federated Recommendation System
Zhitao Zhu
Shijing Si
Jianzong Wang
Jing Xiao
FedML
81
14
0
26 May 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning
  Scenarios
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
Dazhong Rong
Qinming He
Jianhai Chen
FedML
24
41
0
26 Apr 2022
FedCL: Federated Contrastive Learning for Privacy-Preserving
  Recommendation
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
Xing Xie
FedML
24
15
0
21 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong
Shuai Ye
Ruoyan Zhao
Hon Ning Yuen
Jianhai Chen
Qinming He
AAML
FedML
24
57
0
01 Apr 2022
Federated Social Recommendation with Graph Neural Network
Federated Social Recommendation with Graph Neural Network
Zhiwei Liu
Liangwei Yang
Ziwei Fan
Hao Peng
Philip S. Yu
FedML
21
151
0
21 Nov 2021
A Payload Optimization Method for Federated Recommender Systems
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
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
25
67
0
27 Jul 2021
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
21
71
0
04 Jul 2021
Federated Neural Collaborative Filtering
Federated Neural Collaborative Filtering
V. Perifanis
P. Efraimidis
FedML
13
92
0
02 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
27
630
0
20 May 2021
A Survey on Federated Learning and its Applications for Accelerating
  Industrial Internet of Things
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou
Shouhua Zhang
Qinghua Lu
W. Dai
Min Chen
Xin Liu
Susanna Pirttikangas
Yang Shi
Weishan Zhang
E. Herrera-Viedma
FedML
AI4CE
23
44
0
21 Apr 2021
Federated Multi-Armed Bandits
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
63
92
0
28 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for
  Distributed Mobile Robots
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
83
51
0
11 Jan 2021
Achieving Security and Privacy in Federated Learning Systems: Survey,
  Research Challenges and Future Directions
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
Alberto Blanco-Justicia
J. Domingo-Ferrer
Sergio Martínez
David Sánchez
Adrian Flanagan
K. E. Tan
FedML
26
110
0
12 Dec 2020
A Novel Privacy-Preserved Recommender System Framework based on
  Federated Learning
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning
Jiangcheng Qin
Baisong Liu
FedML
32
19
0
11 Nov 2020
A Federated Multi-View Deep Learning Framework for Privacy-Preserving
  Recommendations
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations
Mingkai Huang
Hao Li
Bing Bai
Chang Wang
Kun Bai
Fei Wang
FedML
53
31
0
25 Aug 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in
  Edge Computing
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
Jed Mills
Jia Hu
Geyong Min
FedML
25
193
0
17 Jul 2020
Robust Federated Recommendation System
Robust Federated Recommendation System
Chen Chen
Jingfeng Zhang
A. Tung
Mohan Kankanhalli
Gang Chen
FedML
44
26
0
15 Jun 2020
Robust Aggregation for Federated Learning
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
37
629
0
31 Dec 2019
Federated User Representation Learning
Federated User Representation Learning
D. Bui
Kshitiz Malik
Jack Goetz
Honglei Liu
Seungwhan Moon
Anuj Kumar
Kang G. Shin
FedML
30
62
0
27 Sep 2019
Variational Federated Multi-Task Learning
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
27
159
0
14 Jun 2019
Analyzing Federated Learning through an Adversarial Lens
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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