Milad Rahmati

Dynamic federated multi-agent planning under partial observability and network instability for real-time edge applications

Abstract In recent years, the proliferation of autonomous systems at the edge—including robotic swarms, autonomous vehicles, and intelligent sensor networks—has highlighted the urgent need for resilient multi-agent planning under uncertain, decentralized conditions. Traditional m...

Post-quantum lightweight cryptographic algorithm for secure real-time decision-making in distributed optimization networks

Abstract The imminent threat posed by quantum computing to classical cryptographic systems necessitates the development of quantum-resistant, efficient, and scalable encryption techniques, especially for real-time distributed optimization networks critical to national infrastruct...