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]
@inproceedings{DoluiGLMH019,
title = {Towards Privacy-preserving Mobile Applications with Federated Learning: The Case of Matrix Factorization},
author = {Koustabh Dolui and Illapha Cuba Gyllensten and Dietwig Lowet and Sam Michiels and Hans Hallez and Danny Hughes 0001},
year = {2019},
doi = {10.1145/3307334.3328657},
url = {https://doi.org/10.1145/3307334.3328657},
researchr = {https://researchr.org/publication/DoluiGLMH019},
cites = {0},
citedby = {0},
pages = {624-625},
booktitle = {Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019},
editor = {Junehwa Song and Minkyong Kim and Nicholas D. Lane and Rajesh Krishna Balan and Fahim Kawsar and Yunxin Liu},
publisher = {ACM},
isbn = {978-1-4503-6661-8},
}