High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking

Aleksandar Armacki, Haoyuan Cai, Ali H. Sayed

We study high-probability (HP) convergence guarantees in decentralized stochastic optimization, where multiple agents collaborate to jointly train a model over a network. Existing…