Abstract: In this article, we propose a generic FPGA-based training accelerator tailored for RepVGG-like networks, which strikes a balance between maximizing training-time accuracy and minimizing ...

Abstract: The main task of future networks is to build, as much as possible, intelligent networking architectures for intellectualization, activation, and customization. Software-defined networking ...