The growing integration of distributed energy resources drives the centralized power system
towards a decentralized multi-agent network. Operating multi-agent networks significantly …

The increased penetration of distributed energy resources and the adoption of sensing and
control technologies are driving the transition from our current centralized electric grid to a …

The complexities of information processing across Dynamic Data Driven Applications
Systems drive the development and adoption of Artificial Intelligence-based optimization …

As the modern electrical grid shifts towards distributed systems, there is an increasing need
for rapid decision-making tools. Artificial Intelligence (AI) and Machine Learning (ML) …

Distributed machine learning has become increasingly vital as devices generate vast
amounts of data. However, ensuring privacy during model synchronization represents a …