T. Sadasivam

Federated multi-agent deep reinforcement learning with digital twin-assisted cross-layer optimization for secure energy-aware massive MIMO-NOMA mobile edge computing systems

Experimental results demonstrate that the proposed FMADRL with digital-twin assistance significantly outperforms existing methods in energy savings, reduced delay, improved reliability, and robustness against security threats.