Towards Privacy-preserving Mobile Applications with Federated Learning: The Case of Matrix Factorization

Koustabh Dolui, Illapha Cuba Gyllensten, Dietwig Lowet, Sam Michiels, Hans Hallez, Danny Hughes 0001. Towards Privacy-preserving Mobile Applications with Federated Learning: The Case of Matrix Factorization. In Junehwa Song, Minkyong Kim, Nicholas D. Lane, Rajesh Krishna Balan, Fahim Kawsar, Yunxin Liu, editors, Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. pages 624-625, ACM, 2019. [doi]

Abstract

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