The author proposes an Over-the-Air federated learning algorithm to enhance fairness and robustness through minmax optimization, showcasing convergence to the optimal solution without reconstructing channel coefficients. The approach improves efficiency and privacy by leveraging a novel communication strategy.
Over-the-Air Federated Learning algorithm enhances fairness and robustness through minmax optimization, improving efficiency and privacy.
Over-the-Air Federated Learning algorithm aims to provide fairness and robustness through minmax optimization.