Abstract: Batch normalization (BN) is widely recognized as an essential method in training deep neural networks, facilitating convergence and enhancing model stability. However, in Federated Learning ...
Abstract: Representing signals using coordinate networks domi-nates the area of inverse problems recently, and is widely applied in various scientific computing tasks. Still, there exists an issue of ...