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 ...
This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...
Abstract: Task-oriented semantic communication (ToSC) enhances efficiency and performance by leveraging task-specific data representations and end-to-end learning, which are more compact and effective ...
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