FeSEC: a secure and efficient federated learning framework for medical imaging is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.
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.
NIBIB NIH HHS
Grant: R21 EB030209
NCATS NIH HHS
Grant: UL1 TR001433
FWCI
1.42
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords