Federated learning (FL) enables collaborative model training among
distr...
Malware open-set recognition (MOSR) aims at jointly classifying malware
...
Data-driven predictive control (DPC) has been studied and used in variou...
As Kubernetes becomes the infrastructure of the cloud-native era, the
in...
Facing the challenge of statistical diversity in client local data
distr...
Federated learning (FL) is a distributed machine learning paradigm where...
Subspace identification (SID) has been widely used in system identificat...
With the development of AIoT, data-driven attack detection methods for
c...
Multivariate time series prediction has attracted a lot of attention bec...
Currently, explosive increase of smartphones with powerful built-in sens...