Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy

Wei Huo, Changxin Liu, Kemi Ding +2

This paper investigates the use of the cubic-regularized Newton method within a federated learning framework while addressing two major concerns that commonly arise in federated le…