Towards Efficient Communication and Secure Federated Recommendation
System via Low-rank Training

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Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training

8 January 2024

Ngoc-Hieu Nguyen

Tuan Nguyen

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Papers citing "Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training"

12 / 12 papers shown

Title
Improving LoRA in Privacy-preserving Federated Learning Youbang Sun Zitao Li Yaliang Li Bolin Ding 82 76 0 18 Mar 2024
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization Honglei Zhang Fangyuan Luo Jun Wu Xiangnan He Yidong Li 58 81 0 23 Jun 2022
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion Shijie Zhang Hongzhi Yin Tong Chen Zi Huang Quoc Viet Hung Nguyen Li-zhen Cui FedML AAML 69 96 0 21 Oct 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning Nam Hyeon-Woo Moon Ye-Bin Tae-Hyun Oh FedML 89 122 0 13 Aug 2021
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism Vipul Gupta Dhruv Choudhary P. T. P. Tang Xiaohan Wei Xing Wang Yuzhen Huang A. Kejariwal Kannan Ramchandran Michael W. Mahoney 51 33 0 18 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection Fan Lai Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML OODD 122 275 0 12 Oct 2020
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning Lingjuan Lyu Yitong Li Karthik Nandakumar Jiangshan Yu Xingjun Ma FedML 47 51 0 18 Jul 2020
Meta Matrix Factorization for Federated Rating Predictions Yujie Lin Pengjie Ren Zhumin Chen Zhaochun Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 85 118 0 22 Oct 2019
Secure Federated Matrix Factorization Di Chai Leye Wang Kai Chen Qiang Yang FedML 53 321 0 12 Jun 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 90 323 0 31 May 2019
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,646 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016

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