Federated Multi-view Matrix Factorization for Personalized Recommendations

8 April 2020

Muhammad Ammad-ud-din

FedML

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Papers citing "Federated Multi-view Matrix Factorization for Personalized Recommendations"

27 / 27 papers shown

Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 487 5 0 10 Mar 2025
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation Siqing Zhang Yuchen Ding Wei Tang Wei Sun Yong Liao P. Zhou 106 0 0 29 Nov 2024
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach Zhiwei Li Guodong Long Tianyi Zhou Jing Jiang Chengqi Zhang FedML 99 6 0 16 Aug 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 198 0 0 12 May 2024
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization Ming Cheung 21 0 0 24 Dec 2023
Federated Deep Multi-View Clustering with Global Self-Supervision Xinyue Chen Jie Xu Yazhou Ren X. Pu Ce Zhu Xiao-lan Zhu Zhifeng Hao Lifang He FedML 59 17 0 24 Sep 2023
FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems Francesco Fabbri Xianghang Liu Jack R. McKenzie Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 65 0 0 14 Sep 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework Guowei Wu Weike Pan Zhong Ming FedML 58 2 0 25 Jul 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 102 14 0 10 May 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 57 12 0 07 Mar 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 105 16 0 22 Feb 2023
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 145 53 0 10 Feb 2023
Federated Recommendation with Additive Personalization Zhiwei Li Guodong Long Tianyi Zhou FedML 71 20 0 22 Jan 2023
PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems Peihua Mai Yan Pang 26 4 0 29 Sep 2022
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 107 48 0 21 Sep 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 72 2 0 30 Aug 2022
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation M. Eren Luke E. Richards Manish Bhattarai Roberto Yus Charles K. Nicholas Boian S. Alexandrov FedML 75 9 0 04 May 2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data Di Wu Peng Zhang Yi He Xin Luo 10 1 0 16 Apr 2022
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices Di Wu Yi He Xin Luo 57 0 0 16 Apr 2022
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 92 156 0 21 Nov 2021
A Payload Optimization Method for Federated Recommender Systems Farwa K. Khan Adrian Flanagan K. E. Tan Z. Alamgir Muhammad Ammad-ud-din 125 30 0 27 Jul 2021
Federated Multi-View Learning for Private Medical Data Integration and Analysis Sicong Che Hao Peng Lichao Sun Yong Chen Lifang He FedML 125 41 0 04 May 2021
Federated Reconstruction: Partially Local Federated Learning K. Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash FedML 101 143 0 05 Feb 2021
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 65 114 0 12 Dec 2020
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations Mingkai Huang Hao Li Bing Bai Chang Wang Kun Bai Fei Wang FedML 101 33 0 25 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 267 578 0 27 Jul 2020
Privacy Threats Against Federated Matrix Factorization Dashan Gao Ben Tan Ce Ju V. Zheng Qiang Yang 70 13 0 03 Jul 2020