Jing-Xin Li

A Generative Digital Twin Framework for Low-Overhead Multi-Agent Device Scheduling in Wireless Federated Learning

Future 6G networks will rely on large numbers of heterogeneous intelligent agents that must coordinate under dynamic wireless conditions. Multi-agent reinforcement learning (MARL) is a promising tool for such coordination, but its training often requires frequent state collection from real devices, causing substantial...