Dec 2, 2021 · We introduce AdaSplit which enables efficiently scaling SL to low resource scenarios by reducing bandwidth consumption and improving performance across ...
AdaSplit is introduced which enables efficiently scaling SL to low resource scenarios by reducing bandwidth consumption and improving performance across ...
Dec 7, 2021 · Bibliographic details on AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning.
We introduce AdaSplit which enables efficiently scaling SL to low resource scenarios by reducing bandwidth consumption and improving performance across ...
Adasplit: Adaptive trade-offs for resource-constrained distributed deep learning. A Chopra, SK Sahu, A Singh, A Java, P Vepakomma, V Sharma, ... arXiv ...
In this work, we introduce AdaSplit which enables efficiently scaling SL to low resource scenarios by reducing bandwidth consumption and improving performance ...
... adasplit，通过降低带宽消耗并提高异构客户端的性能，使得能够将SL有效地缩放到低资源场景。为了捕获和基准的分布式深度学习的多维性质，我们还介绍了C3分数，是评估 ...
In this work, we introduce AdaSplit which enables efficiently scaling SL to low resource scenarios by reducing bandwidth consumption and improving performance ...
Co-authors ; Adasplit: Adaptive trade-offs for resource-constrained distributed deep learning. A Chopra, SK Sahu, A Singh, A Java, P Vepakomma, V Sharma, ...
Finally, we also present sensitivity analyses of key design choices in AdaSplit which highlight the ability of AdaSplit to adapt to variable resource budgets.