Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.
Abstract: This paper focuses on reducing communication load in distributed extended object tracking (EOT) over a peer-to-peer network. Specifically, we propose a novel event-triggered (ET) filter for ...
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