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: Class imbalance is a recurring problem in machine learning, especially in domains like SME's, healthcare, finance, and fraud detection, where rare but important events are often ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results