Secure Federated Matrix Factorization

Public-key cryptosystems based on composite degree residuosity classes

Pascal Paillier · 1999

Earlier work this paper cites.

Foundations of cryptography: volume 2, basic applications

Oded Goldreich · 2009

Earlier work this paper cites.

Matrix factorization techniques for recommender systems

Yehuda Koren, Robert Bell, and Chris Volinsky · 2009

Earlier work this paper cites.

Differential privacy

Cynthia Dwork · 2011

Earlier work this paper cites.

The generic composite residuosity problem

Tibor Jager · 2012

Earlier work this paper cites.

Private traits and attributes are predictable from digital records of human behavior

Michal Kosinski, David Stillwell, and Thore Graepel · 2013

Earlier work this paper cites.

Privacy-preserving matrix factorization

Valeria Nikolaenko, Stratis Ioannidis, Udi Weinsberg, Marc Joye, Nina Taft, and Dan Boneh · 2013

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Applying differential privacy to matrix factorization

Arnaud Berlioz, Arik Friedman, Mohamed Ali Kaafar, Roksana Boreli, and Shlomo Berkovsky · 2015

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The movielens datasets: History and context

F Maxwell Harper and Joseph A Konstan · 2016

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Efficient privacy-preserving matrix factorization via fully homomorphic encryption

Sungwook Kim, Jinsu Kim, Dongyoung Koo, Yuna Kim, Hyunsoo Yoon, and Junbum Shin · 2016

Cited alongside, same era.

Federated learning: Strategies for improving communication efficiency

Original

Jakub Konečnỳ, H Brendan McMahan, Felix X Yu, Peter Richtárik, Ananda Theertha Suresh, and Dave Bacon · 2016

Cited alongside, same era.

Sparse mobile crowdsensing: challenges and opportunities

Leye Wang, Daqing Zhang, Yasha Wang, Chao Chen, Xiao Han, and Abdallah M’hamed · 2016

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Privcheck: privacy-preserving check-in data publishing for personalized location based services

Dingqi Yang, Daqing Zhang, Bingqing Qu, and Philippe Cudré-Mauroux · 2016

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A survey on homomorphic encryption schemes: Theory and implementation

Abbas Acar, Hidayet Aksu, A Selcuk Uluagac, and Mauro Conti · 2018

Later among the works it cites.

Federated collaborative filtering for privacy-preserving personalized recommendation system

Original

Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan · 2019

Closest in time.

Federated machine learning: Concept and applications

Qiang Yang, Yang Liu, Tianjian Chen, and Yongxin Tong · 2019

Closest in time.