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аналитика - Federated Learning Algorithm
Boosting Fairness and Robustness in Over-the-Air Federated Learning
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 for Fairness and Robustness Enhancement
Over-the-Air Federated Learning algorithm enhances fairness and robustness through minmax optimization, improving efficiency and privacy.
Over-the-Air Federated Learning for Fairness and Robustness
Over-the-Air Federated Learning algorithm aims to provide fairness and robustness through minmax optimization.
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