Concurrent training methods for Kolmogorov-Arnold networks: Disjoint datasets and FPGA implementation

Research introduces concurrency enhancements for training Kolmogorov-Arnold Networks (KANs) using a Newton-Kaczmarz method, claiming better accuracy and speed than MLPs.