FedKD-hybrid is a hybrid federated knowledge distillation framework for multi-model lithography hotspot detection that outperforms prior methods on ICCAD-2012 and real-world FAB datasets.
Lithography hotspot detection method based on transfer learning using pre-trained deep convolutional neural network,
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Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection
FedKD-hybrid is a hybrid federated knowledge distillation framework for multi-model lithography hotspot detection that outperforms prior methods on ICCAD-2012 and real-world FAB datasets.