Distributed Random Reshuffling Methods with Improved Convergence Guarantees
The paper proposes two distributed random reshuffling algorithms, Gradient Tracking with Random Reshuffling (GT-RR) and Exact Diffusion with Random Reshuffling (ED-RR), that achieve improved convergence guarantees compared to existing distributed random reshuffling methods.
