ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences

28 July 2022

Papers citing "ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences"

6 / 6 papers shown

Title
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Xiaoyu Tan Yaochu Jin FedML 88 0 0 23 Sep 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 29 1 0 02 Jul 2024
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography O. Regev LRM 69 1,072 0 08 Jan 2024
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 69 51 0 10 Feb 2023
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Y. Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 24 60 0 27 Dec 2022
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication Muah Kim Onur Gunlu Rafael F. Schaefer FedML 101 118 0 09 Feb 2021