Mai, V.
, La, R.
, Zhang, T.
, Huang, Y.
and Battou, A.
(2023),
Federated Learning with Server Learning for Non-IID Data, IEEE 57th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, US, [online], https://doi.org/10.1109/CISS56502.2023.10089643, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935346
(Accessed October 10, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Federated Learning with Server Learning for Non-IID Data
Published
Author(s)
, , , ,
Proceedings Title
IEEE 57th Annual Conference on Information Sciences and Systems (CISS)
Conference Dates
March 22-24, 2023
Conference Location
Baltimore, MD, US
Pub Type
Conferences
Download Paper
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created March 24, 2023, Updated October 24, 2023