Process-Based Modeling (PBM) and Machine Learning (ML) are often perceiv...
This paper studies optimal scheduling and resource allocation under allo...
This paper studies the tracking control problem of networked multi-agent...
Traffic optimization challenges, such as load balancing, flow scheduling...
The essence of distributed computing systems is how to schedule incoming...
To ensure the privacy of sensitive data used in the training of deep lea...
In this paper we present a consistent and distributed state estimator fo...
The electric power grid is a critical societal resource connecting multi...
As one of the important applications of Smart grid, charging between ele...
With the increasing attentions of deep learning models, attacks are also...
Federate learning can conduct machine learning as well as protect the pr...
Gravitational wave observations of eccentric binary black hole mergers w...
This paper investigates the fixed-time consensus problem under directed
...