Tara Ghasempouri

CoG-Guided Weight Correction for Fault-Tolerant Deep Neural Networks

Bahram Parchekani, Samira Nazari, Ali Azarpeyvand, Mohammad Hasan Ahmadilivani, Tara Ghasempouri, Jaan Raik

Deep Neural Networks (DNNs) used in safety-critical applications are vulnerable to hardware and memory faults that corrupt network weights and degrade reliability. In this paper, we propose a Center of Gravity (CoG) guided weight correction method that restores faulty weights bas…Read more