"AGIC: Approximate Gradient Inversion Attack on Federated Learning."

Jin Xu et al. (2022)

> Home

Details and statistics

DOI: 10.1109/SRDS55811.2022.00012

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/srds/XuHHCD22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/srds/XuHHCD22
Jin Xu, Chi Hong, Jiyue Huang, Lydia Y. Chen, Jérémie Decouchant:
AGIC: Approximate Gradient Inversion Attack on Federated Learning. SRDS 2022: 12-22

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.

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier! Saves Data!