Communication Model
Communication models are being actively researched to improve efficiency and effectiveness across diverse applications, from human-robot collaboration to federated learning and AI-generated content delivery. Current research focuses on developing novel architectures, such as those leveraging deep reinforcement learning, zeroth-order optimization, and generative AI, to address challenges like bandwidth limitations, noisy channels, and the need for semantic understanding in information transmission. These advancements have significant implications for optimizing resource utilization in various fields, including robotics, wireless communication networks, and machine learning, ultimately leading to more efficient and robust systems.
Papers
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