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Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Due to intensive synchronization of models and sharing of data across GPUs and computing nodes during distributed training and inference processes, communication efficiency becomes the bottleneck for achieving high performance at a large scale.
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information
Gait analysis provides a non-contact, low-cost, and efficient early screening method for depression.
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