Title
A distributed traffic classification model based on Federated Learning
Abstract
Traffic classification is the basis of protocol and application design for high performance networks, and the guarantee of network operation management, network traffic scheduling and network development planning. There are some problems in current traffic classification methods, such as difficulty in obtaining and labeling actual traffic data, legal risk and so on. In order to solve these problem...
Year
DOI
Venue
2021
10.1109/BigCom53800.2021.00022
2021 7th International Conference on Big Data Computing and Communications (BigCom)
Keywords
DocType
ISBN
Training,Privacy,Protocols,Law,Computational modeling,Telecommunication traffic,Collaborative work
Conference
978-1-6654-4252-7
Citations 
PageRank 
References 
1
0.40
0
Authors
4
Name
Order
Citations
PageRank
Xufeng Zhu110.40
Nina Shu210.40
Huaixi Wang310.40
Tao Wu45811.53