Federated Optimization of ℓ0-norm Regularized Sparse Learning is a research paper published in Algorithms (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
U.S. National Science Foundation (NSF)
Grant: IIS-1718738
U.S. National Science Foundation (NSF)
Grant: 5K02DA043063-03
Classifying addictions using machine learning analysis of multidimensional data
U.S. National Science Foundation (NSF)
Grant: NIH R01-DA051922-01
U.S. National Science Foundation (NSF)
Grant: CNS-1801925
U.S. National Science Foundation (NSF)
Grant: CNS-2029569
National Science Foundation
Grant: 2029569
RAPID: Collaborative: Location Privacy Preserving COVID-19 Symptom Map Construction via Mobile Crowdsourcing for Proactive Constrained Resource Allocation
National Science Foundation
Grant: 1801925
NeTS: Medium: Collaborative Research: Riding the Stress Wave: Integrated Monitoring, Communications, and Networking for Subsea Infrastructure
National Science Foundation
Grant: 1718738
RI: Small: Multi-View Latent Class Discovery and Prediction with a Streamlined Analytics Platform
National Institutes of Health
Grant: 5R01DA051922-04
Multi-level statistical classification of substance use disorder
Fields of Study
Keywords