Physical neural networks offer more efficient AI hardware, however their training remains challenging. Here, authors introduce sharpness-aware training for physical neural networks to increase their robustness, generalizability, and resilience to real-world perturbations without retraining.
- Tengji Xu
- Zeyu Luo
- Chaoran Huang