A projection-based framework for gradient-free and parallel learning
arXiv:2506.05878v2 Announce Type: replace
Abstract: We present a feasibility-seeking approach to neural network training. This mathematical optimization framework is distinct from conventional gradient-based loss minimization and uses projection opera…