Federated and Differentially Private Learning for Root Cause Classification Across Heterogeneous Semiconductor Fabs
Federated learning (FL) can train a shared model without pooling client records, but it does not by itself provide differential privacy (DP). We compare centralized training, local-only training, federated averaging (FedAvg), and client-level DP-FedAvg on a fully released synthetic benchmark of free-text root-cause-ana...
Youssef Alothman, Mohamed Bader-el-den, Altaleb Alshenqiti et al.
· Electronics · 0 citations