Optimization Science

Research Frontiers in Zeroth-Order Federated Learning in Heterogeneous Settings

Development of gradient-free federated optimization algorithms that handle non-IID data distributions and computational heterogeneity across edge devices without full gradient information.

All Optimization Science PhD categories