Yiping Jiang

Federated Learning–Based Green AI for Sustainable Energy Optimization in 6G WSN

This study establishes a viable pathway toward integrating federated learning and green AI principles for the sustainable, intelligent operation of future 6G WSNs and introduces an adaptive client selection mechanism that prioritizes nodes with higher residual energy and better local model quality to participate in each training round, further enhancing sustainability.