Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling.

Abstract: This paper addresses the problem of distributed optimization in an open network setting where new agents can join and existing ones can leave the network at specific times. Each agent has a ...