Compute Node
Compute nodes are the fundamental processing units in distributed computing systems, aiming to efficiently manage and process data for tasks like machine learning model training and inference. Current research focuses on optimizing node performance through techniques such as parallel and distributed processing (e.g., using Split Learning and coded computation), efficient resource allocation (e.g., via reinforcement learning for power management), and minimizing communication overhead (e.g., with specialized hardware and optimized data transfer protocols). These advancements are crucial for improving the scalability, energy efficiency, and security of large-scale applications in diverse fields, including AI, IoT, and robotics.
Papers
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