FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings

25 October 2022

Papers citing "FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings"

37 / 37 papers shown

Title
Communication-Efficient Robust Federated Learning with Noisy Labels Junyi Li Jian Pei Heng Huang FedML 63 18 0 11 Jun 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 74 27 0 03 May 2022
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 68 206 0 02 Oct 2021
A Payload Optimization Method for Federated Recommender Systems Farwa K. Khan Adrian Flanagan K. E. Tan Z. Alamgir Muhammad Ammad-ud-din 102 30 0 27 Jul 2021
Compositional federated learning: Applications in distributionally robust averaging and meta learning Feihu Huang Junyi Li FedML 59 15 0 21 Jun 2021
Federated Neural Collaborative Filtering V. Perifanis P. Efraimidis FedML 84 93 0 02 Jun 2021
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback Lorenzo Minto Moritz Haller Hamed Haddadi B. Livshits FedML 34 74 0 09 May 2021
FedeRank: User Controlled Feedback with Federated Recommender Systems Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara Fedelucio Narducci FedML 46 42 0 15 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 132 1,228 0 04 Nov 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 65 367 0 15 Jul 2020
Faster Secure Data Mining via Distributed Homomorphic Encryption Junyi Li Heng-Chiao Huang FedML 57 21 0 17 Jun 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 100 1,223 0 31 Mar 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 189 3,647 0 06 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 81 501 0 28 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 65 346 0 14 Oct 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 138 2,333 0 04 Jul 2019
Secure Federated Matrix Factorization Di Chai Leye Wang Kai Chen Qiang Yang FedML 44 319 0 12 Jun 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 187 2,977 0 20 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems Hongwei Wang Fuzheng Zhang Mengdi Zhang J. Leskovec Miao Zhao Wenjie Li Zhongyuan Wang 64 551 0 11 May 2019
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems Qitian Wu Hengrui Zhang Xiaofeng Gao Peng He Paul Weng Han Gao Guihai Chen OffRL CML 78 320 0 25 Mar 2019
Communication-efficient distributed SGD with Sketching Nikita Ivkin D. Rothchild Enayat Ullah Vladimir Braverman Ion Stoica R. Arora FedML 39 200 0 12 Mar 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 244 1,893 0 19 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 127 934 0 01 Feb 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 68 271 0 29 Jan 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi 58 502 0 28 Jan 2019
Outer Product-based Neural Collaborative Filtering Xiangnan He Xiaoyu Du Xiang Wang Feng Tian Jinhui Tang Tat-Seng Chua 58 339 0 12 Aug 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 152 2,568 0 02 Jun 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 166 1,061 0 24 May 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 181 1,239 0 16 Feb 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 125 1,407 0 05 Dec 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 110 1,257 0 07 Jun 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 140 988 0 22 May 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 397 17,468 0 17 Feb 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 154 2,060 0 04 Feb 2016
Modeling User Exposure in Recommendation Dawen Liang Laurent Charlin James McInerney David M. Blei 99 390 0 23 Oct 2015
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 150 5,724 0 09 May 2012