High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking
arXiv:2605.00281v1 Announce Type: new
Abstract: We study high-probability (HP) convergence guarantees in decentralized stochastic optimization, where multiple agents collaborate to jointly train a model over a network. Existing HP results in decentral…