In this paper, we deal with a network of agents that want to cooperatively minimize the sum
of local cost functions depending on a common decision variable. We consider the …

In this paper, we consider the distributed bandit convex optimization of time‐varying
objective functions over a network. By introducing perturbations into the objective functions …

本文研究多智能体系统的分布式约束优化问题, 系统中的每个智能体仅知道自身的局部目标函数
和全局非空约束集, 通过与邻居节点进行信息交互, 最终协同求出优化问题的最优解 …

Several decision and control tasks involve networks of cyber-physical systems that need to
be coordinated and controlled according to a fully-distributed paradigm involving only local …

Federated learning platforms are gaining popularity. One of the major benefits is to mitigate
the privacy risks as the learning of algorithms can be achieved without collecting or sharing …