Login / Signup
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
Published in:
MobiSys (2019)
Keyphrases
</>
privacy preserving
matrix factorization
mobile applications
multi party
privacy preserving data mining
privacy preservation
mobile devices
data privacy
low rank
vertically partitioned data
search engine
unsupervised learning