Tag: approximations

Sharp Gaussian approximations for Decentralized Federated Learning arXiv:2505.08125v1 Announce Type: new Abstract: Federated Learning has gained traction in privacy-sensitive collaborative environments, with local SGD emerging as a key optimization method in decentralized settings. While its convergence properties are well-studied, asymptotic statistical guarantees beyond convergence remain limited. In this paper, we present two generalized Gaussian approximation…