Praveen Kumar Donta

Reinforcement learning can drastically cut retraining costs in O-RAN without sacrificing performance, challenging traditional methods that rely on costly retraining.

Distributing computation across user devices can significantly reduce latency and server resource consumption, challenging the traditional reliance on centralized scheduling in distributed systems.

Forget incentive compatibility, can you even trust the marketplace operator?

Current service orchestration solutions fall short of achieving autonomous, resilient, and scalable performance in the Computing Continuum, highlighting the urgent need for standardized evaluation environments.