FedQuad uses quadruplet constraints and stochastic client selection in federated learning to reduce representation misalignment and improve generalization on heterogeneous data.
FedCRL: Personalized federated learn- ing with contrastive shared representations for label heterogeneity in non-IID data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis
FedQuad uses quadruplet constraints and stochastic client selection in federated learning to reduce representation misalignment and improve generalization on heterogeneous data.