Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion

Brian Swenson, Ryan Murray, H. Vincent Poor +1

The paper considers distributed gradient flow (DGF) for multi-agent nonconvex optimization. DGF is a continuous-time approximation of distributed gradient descent that is often eas…