Ilya Kuruzov

Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization

This paper addresses the minimization of the sum of strongly convex, smooth functions over a network of agents without a centralized server. Existing decentralized algorithms require knowledge of functions and network parameters, such as the Lipschitz constant of the global gradient and/or network c…