Yujin Shin

StabFL: Stabilized Logit Adjustment with Queue-Augmented Representation Learning for Label-Skewed Federated Learning

Federated learning under label skew aggregates models trained with different local class distributions. Local logit adjustment can reduce class-dependent bias, but the adjusted loss updates both the encoder and classifier in client-specific directions. StabFL optimizes a joint local objective that combines logit-adjust...