Federated Multi-view Matrix Factorization for Personalized
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Federated Multi-view Matrix Factorization for Personalized Recommendations

8 April 2020

Adrian Flanagan

A. Grigorievskiy

Suleiman A. Khan

Muhammad Ammad-ud-din

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

19 / 19 papers shown

Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 258 5 0 10 Mar 2025
Scalable Probabilistic Matrix Factorization with Graph-Based Priors Jonathan Strahl J. Peltonen Hiroshi Mamitsuka Samuel Kaski 13 25 0 25 Aug 2019
Secure Federated Matrix Factorization Di Chai Leye Wang Kai Chen Qiang Yang FedML 27 315 0 12 Jun 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 45 2,297 0 13 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 70 2,652 0 04 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 46 270 0 29 Jan 2019
Secure Federated Transfer Learning Yang Liu Yan Kang Chaoping Xing Tianjian Chen Qiang Yang FedML 24 119 0 08 Dec 2018
Cold-start recommendations in Collective Matrix Factorization David Cortes VLM LRM 25 21 0 02 Sep 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 53 395 0 22 Feb 2018
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption Stephen Hardy Wilko Henecka Hamish Ivey-Law Richard Nock Giorgio Patrini Guillaume Smith Brian Thorne FedML 37 532 0 29 Nov 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 71 1,791 0 30 May 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 89 1,886 0 08 Oct 2016
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 164 6,170 0 15 Sep 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 196 17,235 0 17 Feb 2016
Sparse group factor analysis for biclustering of multiple data sources K. Bunte Eemeli Leppaaho I. Saarinen Samuel Kaski 13 38 0 29 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 416 149,474 0 22 Dec 2014
Group Factor Analysis Arto Klami S. Virtanen Eemeli Leppaaho Samuel Kaski CML 22 109 0 21 Nov 2014
Kernelized Bayesian Matrix Factorization M. Gönen Suleiman A. Khan Samuel Kaski 76 100 0 06 Nov 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 240 7,883 0 13 Jun 2012