Holarchic structures for decentralized deep learning: a performance analysis
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DOI: 10.1007/s10586-019-02906-4
Abstract: Structure plays a key role in learning performance. In centralized computational systems, hyperparameter optimization and regularization techniques such as dropout are computational means to enhance learning performance by adjusting the deep hierarchical structure. However, in… read more here.
Keywords: network; learning performance; decentralized deep; deep learning ... See more keywords