"FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data ..."

Zhen Wang et al. (2023)

> Home

Details and statistics

DOI: 10.1109/ISPA-BDCLOUD-SOCIALCOM-SUSTAINCOM59178.2023.00083

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bdcloud/WangACLWCY23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bdcloud/WangACLWCY23
Zhen Wang, Daniyal M. Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Zeng Cheng, Yang Yang:
FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity. ISPA/BDCloud/SocialCom/SustainCom 2023: 388-393

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.