Industrial Internet of Things federal learning method combined with block chain technology

The invention discloses an industrial Internet of Things federal learning method combined with a block chain technology. The method comprises the following steps: 1) equipment initialization; 2) creation and release of a federal task; 3) role selection and dynamic layering; 4) storing a global model; according to the method, the efficiency of distributed learning among industrial equipment can be improved, decentration, verifiability, tampering resistance and traceability are achieved at the same time, resource waste can be reduced, and the participation process of the equipment can be optimized. 本发明公开了一种结合区块链技术的工业物联网联邦学习方法，包括如下步骤：1）设备初始化：2）联邦任务的创建和发布；3）角色选择和动态分层；4）全局模型的存储；5）客户端本地训练和打分与存储；6）聚合器的请求和验证与聚合；7）区块的创建与传播。这种方法能提高工业设备间分布式学习的效率，同时实现去中心化、可验证性、不可篡改性和可追溯性，该系统不仅能减少资源浪费，还能优化设备的参与过程。