A cross-silo federated learning method uses one-time foundation-model API queries on public data and asymmetric dual knowledge distillation to improve small, data-poor medical clients.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
A cross-silo federated learning method uses one-time foundation-model API queries on public data and asymmetric dual knowledge distillation to improve small, data-poor medical clients.