Out-of-distribution (OOD) generalization poses a serious challenge for m...
Deep learning has achieved the state-of-the-art performance across medic...
Privacy-aware multiagent systems must protect agents' sensitive data whi...
The Gaussian mechanism is one differential privacy mechanism commonly us...
Model calibration measures the agreement between the predicted probabili...
Data-driven systems are gathering increasing amounts of data from users,...
Graphs are the dominant formalism for modeling multi-agent systems. The
...
In decision-making problems, the actions of an agent may reveal sensitiv...
As multi-agent systems proliferate, there is increasing demand for
coord...
As members of a network share more information with each other and netwo...
We consider a cloud-based control architecture for a linear plant with
G...
In this paper, we develop a privacy implementation for symbolic control
...
As multi-agent systems proliferate and share more and more user data, ne...