Abstract: Distributed minimax optimization is essential for robust federated learning, offering resiliency against the variability in data distribution. Most previous works focus only on learning ...
Abstract: Linear code, a foundational construct extensively employed in communication, data transmission, and error correction, has been the subject of rigorous study ...
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