DynBC evaluates candidate model updates by their agreement with the current model on augmented reference patches, filtering out updates that deviate too much, and reports improved robustness to client drift and catastrophic forgetting in histopathology segmentation.
Structured crowdsourcing enables convolutional segmenta- tion of histology images
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Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity
DynBC evaluates candidate model updates by their agreement with the current model on augmented reference patches, filtering out updates that deviate too much, and reports improved robustness to client drift and catastrophic forgetting in histopathology segmentation.