Asynchronous Distributed Optimization with Delay-free Parameters
Existing asynchronous distributed optimization algorithms often use diminishing step-sizes
that cause slow practical convergence, or use fixed step-sizes that depend on and decrease …
that cause slow practical convergence, or use fixed step-sizes that depend on and decrease …
Connection-aware P2P trading: Simultaneous trading and peer selection
Abstract Peer-to-peer (P2P) trading is seen as a viable solution to handle the growing
number of distributed energy resources in distribution networks. However, when dealing …
number of distributed energy resources in distribution networks. However, when dealing …
Faster asynchronous nonconvex block coordinate descent with locally chosen stepsizes
Distributed nonconvex optimization problems underlie many applications in learning and
autonomy, and such problems commonly face asynchrony in agents' computations and …
autonomy, and such problems commonly face asynchrony in agents' computations and …
Global Sensitivity Analysis Based Method for Distributed Voltage Control Performance Study
Various sources of uncertainty can jeopardize the performance of control algorithms when
practically implemented in power systems. This paper proposes a novel and replicable …
practically implemented in power systems. This paper proposes a novel and replicable …
[BOOK][B] Regularization and Parallelization Techniques for Modern Engineering Optimization
M Ubl - 2023 - search.proquest.com
Large-scale optimization and control problems appear in applications such as robotics,
machine learning, smart power grids, and sensor networks. These problems involve many …
machine learning, smart power grids, and sensor networks. These problems involve many …