Wang et al. (2026)

New theory bounds KAN training, reveals privacy-utility gap

Researchers have established new theoretical bounds for training Kolmogorov-Arnold Networks (KANs), a structured alternative to standard MLPs. The work analyzes KANs trained with mini-batch stochastic gradient descent (…