They’re from different states, and worked in logistics and kept troops supplied with food and equipment. They died Sunday ...

Abstract: As the complexity of deep neural networks escalates, traditional federated learning (FL) frameworks increasingly struggle since the training overhead of the full model is costly for resource ...

Abstract: The challenges of class-imbalance and partially unknown training labels often arise in fault detection tasks. When these two problems occur simultaneously, existing imbalanced classification ...