Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …

Blockchain has emerged as an innovative technology with potential to transform business
management, through operational efficiency improvements. Nevertheless, several …

Federated learning, as a novel distributed machine learning mode, enables the training of
machine learning models on multiple devices while ensuring data privacy. However, the …

This article provides an in-depth analysis of blockchain research in the energy sector,
focusing on projects funded by the US Department of Energy (DOE) and comparing them …

Federated learning (FL) is an emerging machine learning paradigm designed to address the
challenge of the data island while preserving data privacy. In this approach, multiple clients …

摘要当代系统认知, 管理与控制的核心理论, 方法与技术已经转移到大数据和人工智能技术上,
这导致当前人工智能技术条件局限与复杂系统认知, 管理, 控制的需求之间形成了一道鸿沟 …