Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID"Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated ..."
Pravin Chandran et al. (2021)
- Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi, Srikanth Chandar:
Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data. CoRR abs/2106.14503 (2021)
a service of 
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.
last updated on 2021-06-30 16:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
