Distributed Training in Access Control Model

Autor: Pengyu Mu, Nafei Zhu, Jingsha He, Song Han, Hou Ziqiang, Fangbo Cai
Rok vydání: 2020
Předmět:
Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789811532498
DOI: 10.1007/978-981-15-3250-4_116
Popis: Classification and regression prediction of access objects in distributed access control model is a very important basic task in distributed access control model. Machine learning plays an important role in the field of intelligent access control in the future, especially in the application of machine learning methods to solve classification and regression problems. The paper proposes a learning method of distributed collaborative training, which can reduce the communication consumption of node policy update and increase the access execution margin of a single node. Improve model performance
Databáze: OpenAIRE