Abstract: In multi-split computing, to achieve low inference latency and avoid significant accuracy degradation, it is advantageous to distribute sub-models to computing nodes that can exchange ...
Abstract: Distributed computing methods play a vital role in scalable machine learning as they divide computations across multiple nodes to handle large-scale tasks efficiently. However, maintaining ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results