FedSQ stabilizes federated weight averaging under heterogeneous data by fixing binary gating masks derived from a pretrained model's structure while optimizing only quantitative parameters.
Federated learning for medical image classification: A comprehensive benchmark
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
FedSQ: Optimized Weight Averaging via Fixed Gating
FedSQ stabilizes federated weight averaging under heterogeneous data by fixing binary gating masks derived from a pretrained model's structure while optimizing only quantitative parameters.