2results about How to "Accurate grouping" patented technology

The present application relates to the technical field of artificial intelligence and federated machine learning, and particularly relates to an asynchronous federated learning aggregation method and system based on clustering cache. The present application clusters clients by intermediate features of the clients. In global aggregation, intra-cluster aggregation is firstly performed, and then global aggregation is performed based on client clusters. The client clusters are dynamically updated. In intra-cluster aggregation, an active set and a slow set are introduced to realize an asynchronous participation mechanism of intra-cluster aggregation. Weighted aggregation of the active set and the slow set solves the problem of system heterogeneity. The present application solves the defect of insufficient timeliness of existing federated learning methods in a data heterogeneous scene, and guarantees the timeliness and model training accuracy of federated learning in the data heterogeneous scene.

The invention discloses a risk level assessment method and device for an equipment security event, a medium and a terminal, relates to the technical field of equipment operation and maintenance, and mainly aims to solve the problem that the overall risk identification capability is insufficient due to the fact that an existing method only focuses on risk identification in a single link in an optical transmission process. Comprising the following steps: acquiring alarm information carried by a target equipment security event, and generating an alarm feature vector; deducing a knowledge graph based on pre-constructed equipment security event features, and performing enhancement processing on the alarm feature vector to obtain an enhanced alarm feature vector; and based on the equipment security event risk level assessment model after model training is completed, risk level assessment operation is performed on the target equipment security event according to the enhanced alarm feature vector, a risk level assessment result is obtained, and equipment operation is controlled according to the risk level assessment result.