"Towards Privacy-preserving Mobile Applications with Federated Learning: ..."

Koustabh Dolui et al. (2019)

> Home

Details and statistics

DOI: 10.1145/3307334.3328657

access: closed

type: Conference or Workshop Paper

metadata version: 2020-10-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/mobisys/DoluiGLMH019
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/mobisys/DoluiGLMH019
Koustabh Dolui, Illapha Cuba Gyllensten, Dietwig Lowet, Sam Michiels, Hans Hallez, Danny Hughes:
Towards Privacy-preserving Mobile Applications with Federated Learning: The Case of Matrix Factorization. MobiSys 2019: 624-625

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.