18397.rar «FHD 2025»

: Proposes a framework that adaptively selects and manages computing nodes to ensure high reliability during the training process.

: Aimed at developers and researchers working on large-scale AI models that require high-performance computing resources spread across different locations. 18397.rar

: Standard distributed training often struggles with resource instability and communication overhead in large-scale computing power networks. : Proposes a framework that adaptively selects and

: Demonstrates significant improvements in training speed and resource utilization compared to traditional distributed methods. 18397.rar