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Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning

Engineering and Technology

Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning

M. Badi, C. B. Issaid, et al.

Discover a groundbreaking method for enhancing energy efficiency in federated learning through innovative over-the-air computation, presented by Mohamed Badi, Chaouki Ben Issaid, Anis Elgabli, and Mehdi Bennis. This research tackles critical challenges in distributed learning, achieving remarkable energy savings while maintaining robustness against data variability.

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