This letter aims to enhance the use of the Frank-Wolfe (FW) algorithm for training deep neural networks. Similar to any gradient-based optimization algorithm, FW suffers from high computational and ...

Conventional vehicle suspension systems, often relying on integer-order models with fixed damping coefficients, struggle to deliver optimal performance across diverse an ...

However, the data distribution of different participating nodes is various, and the existing training method cannot reflect the contribution of different nodes in model training process. Based on ...