no code implementations • 5 Mar 2024 • Mou Wu, Haibin Liao, Zhengtao Ding, Yonggang Xiao
Gradient-type distributed optimization methods have blossomed into one of the most important tools for solving a minimization learning task over a networked agent system.
no code implementations • 11 Feb 2023 • Yixing Liu, Yan Sun, Zhengtao Ding, Li Shen, Bo Liu, DaCheng Tao
Federated learning (FL), as a collaborative distributed training paradigm with several edge computing devices under the coordination of a centralized server, is plagued by inconsistent local stationary points due to the heterogeneity of the local partial participation clients, which precipitates the local client-drifts problems and sparks off the unstable and slow convergence, especially on the aggravated heterogeneous dataset.
no code implementations • 3 Feb 2023 • Yi Dong, Zhongguo Li, Xingyu Zhao, Zhengtao Ding, Xiaowei Huang
Then, based on the distributed optimisation algorithm, an output regulation method is utilised to solve the optimal coordination problem for general linear dynamic systems.
no code implementations • 29 Jan 2023 • Yiqiao Xu, XIAOYU GUO, Zhen Dong, Zhengtao Ding, Alessandra Parisio
The Multi-stack Fuel Cell System (MFCS), which is an assembly of FC stacks, can be a remedy for obstacles in high-power applications.
no code implementations • 24 Apr 2022 • Yiqiao Xu, Alessandra Parisio, Zhongguo Li, Zhen Dong, Zhengtao Ding
This paper presents a novel scheme termed Optimization-based Ramping Reserve Allocation (ORRA) for addressing an ongoing challenge in Automatic Generation Control (AGC) enhancement, i. e., the optimal coordination of multiple Battery Energy Storage Systems (BESSs).