Return to Article Details
A SHARPNESS-AWARE FEDERATED LEARNING FRAMEWORK WITH MC-DROPOUT FOR CNN-BASED MALWARE CLASSIFICATION TO MITIGATE OVERFITTING AND MODEL UNCERTAINTY IN HETEROGENEOUS ENVIRONMENTS
Download
Download PDF