A Survey on Federated Recommendation Systems

A Survey on Federated Recommendation Systems

27 December 2022

Zehua Sun

Papers citing "A Survey on Federated Recommendation Systems"

19 / 19 papers shown

Title
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation Mingzhe Han Dongsheng Li Jiafeng Xia Jiahao Liu Hansu Gu Peng Zhang Ning Gu Tun Lu FedML 37 0 0 19 Apr 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 87 2 0 20 Feb 2025
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Yuxin Tian Mouxing Yang Yuhao Zhou Jian Wang Qing Ye Tongliang Liu Gang Niu Jiancheng Lv FedML 53 0 0 30 Nov 2024
Efficient and Robust Regularized Federated Recommendation Langming Liu Wanyu Wang Xiangyu Zhao Zijian Zhang Chunxu Zhang ... Lixin Zou Zitao Liu Xuetao Wei Hongzhi Yin Qing Li FedML 42 2 0 03 Nov 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
A Survey of Latent Factor Models in Recommender Systems Hind I. Alshbanat Hafida Benhidour Said Kerrache LRM BDL 43 1 0 28 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 117 0 0 12 May 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning Changlin Song Divya Saxena Jiannong Cao Yuqing Zhao FedML 42 3 0 14 Apr 2024
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
Poisoning Federated Recommender Systems with Fake Users Ming Yin Yichang Xu Minghong Fang Neil Zhenqiang Gong AAML FedML 40 13 0 18 Feb 2024
FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems Lin Wang Zhichao Wang Xi Leng Xiaoying Tang 10 1 0 31 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 33 0 0 29 Oct 2023
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 33 1 0 11 Oct 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 41 14 0 22 Feb 2023
Federated Recommendation with Additive Personalization Zhiwei Li Guodong Long Tianyi Zhou FedML 36 15 0 22 Jan 2023
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 81 14 0 26 May 2022
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 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 53 31 0 25 Aug 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017