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: Among the many challenges in realizing wireless networks above 100 GHz, multi-user access remains one of the least explored. Traditionally, multi-user multiplexing at lower frequencies ...
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